Academic literature on the topic 'Market segmentation methods'
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Journal articles on the topic "Market segmentation methods"
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Kim, Taehyun, and Hoon‐Young Lee. "External validity of market segmentation methods." European Journal of Marketing 45, no. 1/2 (February 15, 2011): 153–69. http://dx.doi.org/10.1108/03090561111095630.
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Prygara, Olga, and Viktoria Zhurylo. "THE PROCEDURE OF DEVELOPMENT OF INTERNATIONAL MARKET SEGMENTATION STRATEGY." Economic Analysis, no. 30(1, Part 1) (2020): 166–82. http://dx.doi.org/10.35774/econa2020.01.01.166.
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Introduction. Increase of intensity of international economic activity under the process of internationalization of commodity markets lead to the necessity of search of attractive international markets and segments. Aim of the article is the development of procedure of international market segmentation strategy and determination of peculiarities of international market segmentation in comparison with segmentation of domestic markets, considering the necessity of evaluation of factors of choice of attractive markets, considering the influence of cultural environment on entrepreneurial activity. Method (Methodology). Application of methods of scientific generalization, analysis and synthesis gave an opportunity to distinguish elements, that characterize segmentation of international markets; to systemize the factors of international market environment, that influence international market segmentation process, define customers’ characteristics, that influence their purchasing decisions; to distinguish stages of international market segmentation; to describe features and marketing tasks of each stage. Results. Segmentation of international markets has to be viewed as the systematized process of division of international markets on the groups of countries and groups of individual customers on the basis of their cultural values and motivations concerning their decision making process, that gives an opportunity to satisfy their specific needs and strengthen international competitive positions. The factors that influence international segmentation process are macrofactors: geographic, structural-demographic, legal, economic, scientific, socio-cultural; and microfactors: common market factors (market demand, competitive factors, factors of quality characteristics of the product) and customer-based factors (psychological, behavioral, individual characteristics of customers). The stages of the procedure of developing of international segmentation strategy are: market attractiveness evaluation; competitive analysis; demand evaluation; cultural environment analysis; macrosegmentation of markets; microsegmentation of markets; implementation of strategy and control. The proposed strategy of international segmentation strategy requires forming of the detailed marketing plan to a certain market segment and constant monitoring of its realization in accordance with changes in market environment and motivations of customers.
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Hruschka, H. "Market definition and segmentation using fuzzy clustering methods." International Journal of Research in Marketing 3, no. 2 (January 1986): 117–34. http://dx.doi.org/10.1016/0167-8116(86)90015-7.
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Yoseph, Fahed, and Mohammad AlMalaily. "NEW MARKET SEGMENTATION METHODS USING ENHANCED (RFM), CLV, MODIFIED REGRESSION AND CLUSTERING METHODS." International Journal of Computer Science and Information Technology 11, no. 01 (February 28, 2019): 43–60. http://dx.doi.org/10.5121/ijcsit.2019.11104.
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Thomas, Robert J. "Multistage market segmentation: an exploration of B2B segment alignment." Journal of Business & Industrial Marketing 31, no. 7 (August 1, 2016): 821–34. http://dx.doi.org/10.1108/jbim-12-2015-0245.
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Purpose The purpose of this paper is to explore the possibility of identifying market segments in multistage markets and assessing whether their alignment could provide a useful managerial approach to find competitive advantage and better understand market opportunities. Design/methodology/approach Using data from a pilot project, need-based market segments from different market stages were identified and their potential alignment evaluated. The data were not designed to test hypotheses, nor were they originally intended to be used to align segments. Nevertheless, they provided a unique opportunity to explore multistage segmentation and segment alignment in a business-to-business (B2B) setting. Findings Overall, the findings of this exploratory study should encourage both academics and practitioners to continue to explore the possibility of studying and aligning multistage market segments. The possibility of aligning segments was demonstrated using visual alignment based on managerial judgment of data and alignment based on a combined cluster analysis of customers across the multistage markets. Research limitations/implications First, the market research was not specifically designed to formulate and test hypotheses about the feasibility of aligning segments in multistage markets – it is an exploratory study. The research was based on a pilot project, and the survey-derived databases were conveniently available for analysis. While sample sizes were small, they are typical of many B2B markets. Second, to more effectively study complex relationships in multistage markets, it would have been desirable to include a more comprehensive set of needs. Each market stage has not only a set of their own perceived needs but also a set of perceptions of the needs of other stages. Third, as in many B2B studies, the data used in this pilot project were based on single informants. Practical implications A common complaint among firms is that B2B market segmentation does not really work that well for them. An unexplored reason for this may be that true market segmentation does not stop with one’s direct customer, but should also include the customer’s customer and so on, in a multistage market segmentation structure. One implication of the research presented here suggests that better understanding the segmentation structure in a multistage market can enlighten the opportunities and risks of implementing such a strategy. Multistage market segmentation alignment may lead to innovative positioning and message levers for the sales force to use as an argument to gain advantage according to common and unique aligned segment needs. Social implications The process may be applied to social institutions in addition to commercial organizations. Originality/value While it is obvious that market segmentation can be applied to any single market of customers, the question of applying it to complex multistage markets needs additional exploration. The original idea in this paper is that the potential for strategically aligning multistage markets and segments can have both conceptual and managerial implications for establishing competitive advantage and more efficient and effective resource allocation. The paper shows that that such alignment is possible; however, research and research methods in this area are nascent and will require continued step-by-step learning about these complex market structures to build up to a more definitive understanding of the processes involved to guide future research and managerial thinking.
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Sari, Hasrini, and Diningtyas Aulia Nurhadi. "Designing Marketing Strategy Based on Value from Clothing-producing Companies Using the AHP and Delphi methods." Jurnal Teknik Industri 20, no. 2 (August 31, 2019): 191. http://dx.doi.org/10.22219/jtiumm.vol20.no2.191-203.
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Organizations design some strategies to win the competition. This paper discusses the design of market strategies to achieve harmony between value-based segmentation and marketing mix. The strategy's implementation starts with segmentation, targeting, and positioning. The clothing company ("M") was selected as a research object. Identification of market segments using cluster analysis while determine the target market using the AHP and Delphi method. Besides, Bull's eye research was used for product positioning. The results show that "M" customers are classified into two groups, referred Big Spenders and Discount Finders. Big Spender selected as the primary target market with a focus on size and durability. The marketing strategy focuses on Instagram and Facebook. As a result, the ads developed prototypes have proven to be better.
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Eiras-Franco, Carlos, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, and Antonio Bahamonde. "Interpretable Market Segmentation on High Dimension Data." Proceedings 2, no. 18 (September 17, 2018): 1171. http://dx.doi.org/10.3390/proceedings2181171.
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Obtaining relevant information from the vast amount of data generated by interactions in a market or, in general, from a dyadic dataset, is a broad problem of great interest both for industry and academia. Also, the interpretability of machine learning algorithms is becoming increasingly relevant and even becoming a legal requirement, all of which increases the demand for such algorithms. In this work we propose a quality measure that factors in the interpretability of results. Additionally, we present a grouping algorithm on dyadic data that returns results with a level of interpretability selected by the user and capable of handling large volumes of data. Experiments show the accuracy of the results, on par with traditional methods, as well as its scalability.
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Hong Dien, Le, Nguyen Phuc Son, Pham Hoang Uyen, and Le Van Hinh. "On a segmentation of Coopextra customers in Thu Duc district." Science & Technology Development Journal - Economics - Law and Management 3, no. 1 (May 20, 2019): 28–36. http://dx.doi.org/10.32508/stdjelm.v3i1.537.
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Customer segmentation is the process of grouping customers based on similar characteristics such as behavior, shopping habits…so that businesses can do marketing to each customer group effectively and appropriately. Customer segmentation helps businesses determine different strategies and different marketing approaches to different groups. Customer segmentation helps marketers better understand customers as well as provide goals, strategies and marketing methods for different target groups. This paper aims to examine the customer segmentation using clustering method in statistics and unsupervised machine learning. The algorithms used are K-means and Elbow which are famous algorithms that have been successfully applied in many areas such as marketing, biology, library, insurance, finance... The purpose of clustering is to find meaningful market segments. However, the adoption and adjustment of parameters in the algorithms so as to find significant customer segmentations remain a challenge at present. In this paper, we used data of customers of Thu Duc CoopExtra and found significant customer segmentations which can be useful for more effective marketing and customer care by the supermarket.
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Félix, Rosa, Filipe Moura, and Kelly J. Clifton. "Typologies of Urban Cyclists: Review of Market Segmentation Methods for Planning Practice." Transportation Research Record: Journal of the Transportation Research Board 2662, no. 1 (January 2017): 125–33. http://dx.doi.org/10.3141/2662-14.
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Following global guidelines, several cities are investing in urban cycling. Cities are in different stages of cycling development and have adopted different approaches and packages of policies that are likely to be most effective at each stage. Urban cycling plans include investment in infrastructure, promotion, and education supporting the adoption of active modes for urban mobility. Some investments aim to meet current cyclists’ needs and others those of potential bicycle adopters. With respect to urban cyclists, several studies propose typologies, usually related to frequency, trip purpose, or motivation. This paper compares a set of cyclist typologies and the corresponding categorization methods and reviews 20 studies that considered different cyclists’ profiles. Most studies relied on expert judgment approaches or rule-based decisions; five considered multivariate analysis techniques for clustering groups, on the basis of data from surveys. Despite the variety of group categorizations, commonalities were found in most cases and divided cyclists into three main types: current cyclists (typically more proficient riders), potential cyclists (willing but not convinced), and noncyclists (unaware of or unwilling to shift to cycling). Dividing the population of potential cyclists into different typologies can better inform the different stages of planning for cycling infrastructure development by targeting more accurately the needs and requirements of different types of users. This is a key element in the management of a cycling network and cycling infrastructure, which are intended to be built on the basis of effective solutions and decisions to achieve desirable bicycle modal shares of regular trips.
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Grau, Maria M. Abad, Maria Tajtakova, and Daniel Arias Aranda. "Machine learning methods for the market segmentation of the performing arts audiences." International Journal of Business Environment 2, no. 3 (2009): 356. http://dx.doi.org/10.1504/ijbe.2009.023796.
Full textDissertations / Theses on the topic "Market segmentation methods"
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Botha, Karin. "Market segmentation of visitors to Aardklop National Arts Festival : a comparison of two methods / Karin Botha." Thesis, North-West University, 2009. http://hdl.handle.net/10394/4339.
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Dadák, Michal. "Metodologie segmentace realitního trhu pro oceňovací proces." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2017. http://www.nusl.cz/ntk/nusl-318119.
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This master thesis is focused on the analysis of the real estate market and its segmentation. The beginning of the thesis deals with the basics of the real estate economy and consequently with the main segments on the real estate market. Different statistical and mathematical methods are used in the segmentation of the housing market. The thesis is closed by the analysis of the real estate market and the demonstration and description of how to separate the segment from the market. The output of the work is the recommended methodological procedure for the appraisers.
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Deguilhem, Thibaud. "Revisiter le marché du travail urbain en Amérique Latine : segmentation, réseaux sociaux et qualité de l'emploi à Bogota." Thesis, Bordeaux, 2018. http://www.theses.fr/2018BORD0258/document.
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Dans le contexte latino-américain, façonné par une urbanisation rapide, de fortes inégalités et une faiblesse des institutions de placement de la main d’oeuvre, les problématiques liées à la structure du marché du travail et à l’effet des dispositifs d’intermédiation relationnelle sur les performances dans l’emploi apparaissent fondamentales. Cette thèse se propose de décrire la structure du marché du travail et d’analyser les effets des réseaux de relations sur la qualité de l’emploi et les performances des actifs occupés à Bogota (Colombie). Elle adopte une démarche de recherche pluridisciplinaire reposant sur un cadre d’analyse socioéconomique et institutionnaliste. Dans une première partie, une réflexion théorique et analytique est tout d’abord conduite autour de la notion de qualité de l’emploi envisagée comme un nouvel indicateur de performance. Au prisme de la théorie de la segmentation du marché du travail, l’analyse de ce nouvel indicateur permet d’envisager les logiques et les effets différentiés du recours aux relations sociales. À partir de données quantitatives (enquête ménage geih de 2013) et qualitatives (entretiens collectifs), l’analyse exploratoire multidimensionnelle, économétrique et compréhensive permet de vérifier que : (i.) la qualité de l’emploi traduit une structure fortement polarisée du marché du travail à Bogota, (ii.) l’usage des relations est associé différemment à la qualité de l’emploi des travailleurs en fonction de leur segment, des réseaux de nécessité (segment vulnérable) s’opposant à des réseaux d’opportunité (segment protégé). Dans une seconde partie, s’appuyant sur les théories de l’encastrement et de la sociologie des réseaux, la thèse se propose d’explorer plus précisément les effets des différentes dimensions, configurations et mécanismes de réseau de relations personnelles sur les performances dans l’emploi. À partir d’un système spécifique d’enquêtes mixtes déployé à Bogota entre 2016 et 2018 des données originales de réseaux égocentrés ont été collectées. Les analyses statistiques multidimensionnelles et économétriques ainsi que l’analyse des narrations quantifiées mettent en évidence que : (i.) la combinaison entre un réseau potentiel étendu et un réseau actif cohésif augmente le temps de recherche mais aussi la probabilité de trouver un emploi plus satisfaisant, (ii.) la force des liens apparaît contextualisée et est corrélée négativement avec le revenu et positivement avec l’évolution de ce dernier entre deux emplois, (iii.) au cours des trajectoires professionnelles des acteurs, les ressources nécessaires et les relations permettant d’y accéder se différencient nettement en fonction du type de changement d’emploi (incrémental ou radical)In the Latin American context, shaped by rapid urbanization, high inequalities and the weakness of labor institutions, issues related to the structure of the labor market and the effect of relational intermediation on job performance appear fundamental. This thesis aims to describe the structure of employment and analyzes the effects of social networks on the quality of employment and the performance of workers in Bogota’s labor market (Colombia). This work adopts a multidisciplinary research approach based on a socioeconomic and institutionalist framework. In the first part, a theoretical and analytical reflection is conducted through the notion of quality of employment, to overcome the classical typologies commonly used in developing countries. From this perspective, quality of employment can be seen as a new performance indicator grasped through the prism of the labor market segmentation theory, making possible to consider the rationales and the differential effects produced by the use of social networks. Subsequently, based on quantitative data from the household survey (geih, 2013) supplemented by information collected through focus groups, the multidimensional, econometric and comprehensive exploratory analysis allows to empirically verify that : (i.) quality of employment reflects a strongly polarized structure of the labor market in Bogota, (ii.) the use of social networks is associated differently with the quality of employment of workers according to their segment ; opposing necessity networks (for the vulnerable segment) and opportunity networks (for the protected segment). Based on the theories of the embeddedness and the sociology of networks, the second part of this thesis proposes to explore the dimensions, configurations and mechanisms of different types of social networks to get a job. Using original data on egocentric networks collected from a specific mixed survey system deployed in Bogota between 2016 and 2018, the empirical results from multidimensional and econometric analyzes and, the application of quantified narratives method demonstrate that : (i.) the combination of an extended potential network and a cohesive active network increases the search time but also the probability of finding a satisfactory job, (ii.) the strength of ties appears contextualized and negatively correlated with income but positively with its evolution between the last and the current job, (iii.) during the actors’ labor market trajectories, the necessary resources for changing job and the relationships to access them are clearly differentiated by the type of evolution (incremental or radical)
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Lassassi, Moundir. "Le marché du travail en Algérie : réseaux sociaux, choix occupationnel et salaires." Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM2016.
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Les récents mouvements sociaux qui ont secoué certains pays arabes notamment l'Algérie ont montré la fragilité de la situation sur le marché du travail dans ces pays en particulier pour les jeunes. Le premier chapitre porte sur l'analyse de la situation du marché du travail en Algérie sur une longue période. Ces dix dernières années la situation de l'emploi s'est dégradée en termes de sécurité de l'emploi en particulier pour les jeunes. La situation reste difficile, d'autant plus que la situation démographique actuelle envisage de fortes pressions sur le marché du travail dans le futur. Dans le deuxième chapitre, nous analysons les stratégies de recherche d'emploi notamment par le biais des méthodes informelles. Nos résultats montrent de fortes spécificités liées au genre dans les stratégies de recherche. Dans l'ensemble, les réseaux sociaux apparaissent comme étant une méthode efficace pour trouver un emploi en Algérie mais pas pour des emplois qualifiés. Le troisième chapitre vise à étudier l'architecture des systèmes d'emploi en Algérie. Il ressort que le modèle qui explique le mieux le comportement des hommes et des femmes est un modèle séquentiel à deux niveaux : participation vs non participation et ensuite le choix d'un segment sur le marché du travail. Dans le quatrième chapitre, nous analysons les déterminants du choix du secteur et les salaires pour les hommes et les femmes dans différents secteurs d'activités en Algérie. Nos résultats montrent que les femmes sont moins bien rémunérées par rapport aux hommes dans les différents segments. Le secteur public est celui qui protège le plus les femmes de la discrimination salarialeRecent social movements that swept some Arab countries including Algeria showed the fragility of the situation on the labor market in these countries in particular for young people. The first chapter deals with the analysis of the situation of the labor market in Algeria over a long period. Over the past decade the employment situation has deteriorated in terms of job security in particular for young people. The situation remains difficult, especially as the current demographic situation considering pressures on the labor market in the future. In the second chapter, we analyze the strategies for job search including through informal methods. Our results show strong gender specificities in search strategies. Overall, social networks appear to be an effective method to find a job in Algeria but not for skilled jobs. The third chapter aims to study the architecture of employment systems in Algeria. It appears that the model that best explains the behavior of men and women is a sequential two-level model: participation vs. non participation and then choosing a segment on the labor market. In the fourth chapter, we analyze the determinants of the choice of sector and wages for men and women in different sectors in Algeria. Our results show that women are paid less compared to men in the various segments. The public sector is the one that best protects women from wage discrimination
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Van, Zyl H. J. D. (Hendrik Jacobus Dion). "Constructing a sophistication index as a method of market segmentation of commercial farming businesses in South Africa." Thesis, University of Pretoria, 2012. http://hdl.handle.net/2263/24258.
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This study investigates the process of index construction as a means of measuring a hypothetical construct that can typically not be measured by a single question or item in a survey study and applying it as a method of market segmentation. The availability of incidental secondary data that were gathered during 2009 provides a relevant quantitative basis to illustrate this process by constructing a commercial farming sophistication index for South Africa. A multi-step approach was followed for the construction of the commercial farming sophistication index, namely: (1) Selection of items and definition of variables that are most likely to be indicators of commercial farming sophistication; (2) combining of variables into an index; and (3) segmentation and index validation. Following the investigation and illustration of the process of index construction as a method of market segmentation, it was evident that this approach offers an appropriate and useful means of segmenting a market. Several factors contribute to the appeal of this approach. Amongst other, it contributes towards addressing important priorities in the area of future segmentation research, namely that of investigating the application of new base variables into segmentation models, as well as investigating new segmentation strategies. The approach also applies a creative process of combining several base variables into a single measure, namely that of an index variable. By offering classification rules based on characteristics that can easily be observed or elicited by asking a few key questions, new or potential buyers can be grouped by buying behaviour segment. Furthermore, the multi-step process that was employed has pragmatic appeal for researcher, and provides a systematic and structured multivariate approach to segmentation. It also facilitates replication of the process when conducting future studies. By using an index, it takes advantage of any intensity structure that may exist among attributes. This has the advantage that it places members of the market on a continuum that can lead to tracking members’ development paths as they progress towards higher levels on the index. Furthermore, illustration of the process has significant application value in other business-to-business markets, locally and internationally, where index variables can be constructed from both primary and secondary sources and used as a method of segmentation following a similar multi-step approach proposed in this study. Lastly, the outcome of this type of segmentation method offers researchers and marketing practitioners a procedure, in the form of an equation, to calculate index scores and provide rules to segment the market based on predefined intervals. Hence, the challenge to replicate segment formation across independent future studies is addressed. This process is considered an advantage over employing a technique such as cluster analysis, where the use of new data or changes to the clustering algorithm often leads to different segment solutions.Thesis (PhD)--University of Pretoria, 2012.
Marketing Management
PhD
Unrestricted
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Lekahal, Nathan. "The exploration of statistical ensemble methods for market segmentation." 2009. http://purl.galileo.usg.edu/uga%5Fetd/lekahal%5Fnathan%5Fn%5F200905%5Fms.
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Pai, Fu Nien, and 白傅年. "Definitions of Smartphone Security Strategies by SVM Based Market Segmentation and Hybrid MCDM Methods." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/36699617565383673977.
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碩士國立清華大學
通訊工程研究所
104
Due to the mobile communication devices with convenience, positioning and mobility features, smartphones are becoming essential part of the communication system in human life. Therefore, the information security of smartphone grows with each passing day. Even though there are some scholars probed for smartphones information security problems. But researchers rare for using market segmentation to analysis the difference between customer behaviors, moreover, discussion about smartphone information security and its solution projects further. In order to work out this problem, this research first based on questionnaires to investigate smartphone usage behaviors, and according the support vector machine (SVM) method to cluster, which based on users mode as market segmentation. Through market segmentation, the principal component analysis (PCA) that induce and simplify each market segment’s customers characteristic. Through the way of the PCA method, using the rough set theory (RST) to conclude the rules with affected influencing smartphone usage behaviors. Next, this research takes the decision making trial and evaluation laboratory (DEMATEL) method to construct the causal relationship among the criteria. In view of the DEMATEL method, construct customer characteristics influence relationship map (IRM) diagram for each segment. The analytic network process (ANP) generates the relation diagram on account of the analysis framework by IRM. To infer the weight mapping to each criterion, collecting expert opinions and general questionnaires simultaneously. In the light of expert opinions and general questionnaires, this can produce security strategies of each market separation by client actions. Stand on the results of this research, this research will provide substantial suggestion consulted for smartphone antivirus softwares.
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"Marker extractions in DNA sequences using sub-sequence segmentation tree." 2005. http://library.cuhk.edu.hk/record=b5892586.
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Hung Wah Johnson.Thesis submitted in: August 2004.
Thesis (M.Phil.)--Chinese University of Hong Kong, 2005.
Includes bibliographical references (leaves 116-121).
Abstracts in English and Chinese.
Abstract --- p.i
Acknowledgement --- p.iv
Chapter 1 --- Introduction --- p.1
Chapter 1.1 --- Motivation --- p.1
Chapter 1.2 --- Problem Statement --- p.3
Chapter 1.3 --- Outline of the thesis --- p.6
Chapter 2 --- Background --- p.8
Chapter 2.1 --- Biological Background --- p.8
Chapter 2.2 --- Sequence Alignments --- p.9
Chapter 2.2.1 --- Pairwise Sequences Alignment --- p.11
Chapter 2.2.2 --- Multiple Sequences Alignment --- p.15
Chapter 2.3 --- Neighbor Joining Tree --- p.16
Chapter 2.4 --- Marker Extractions --- p.18
Chapter 2.5 --- Neural Network --- p.19
Chapter 2.6 --- Conclusion --- p.22
Chapter 3 --- Related Work --- p.23
Chapter 3.1 --- FASTA --- p.23
Chapter 3.2 --- Suffix Tree --- p.25
Chapter 4 --- Sub-Sequence Segmentation Tree --- p.28
Chapter 4.1 --- Introduction --- p.28
Chapter 4.2 --- Problem Statement --- p.29
Chapter 4.3 --- Design --- p.33
Chapter 4.4 --- Time and space complexity analysis --- p.38
Chapter 4.4.1 --- Performance Evaluation --- p.40
Chapter 4.5 --- Summary --- p.48
Chapter 5 --- Applications: Global Sequences Alignment --- p.51
Chapter 5.1 --- Introduction --- p.51
Chapter 5.2 --- Problem Statement --- p.53
Chapter 5.3 --- Pairwise Alignment --- p.53
Chapter 5.3.1 --- Algorithm --- p.53
Chapter 5.3.2 --- Time and Space Complexity Analysis --- p.64
Chapter 5.4 --- Multiple Sequences Alignment --- p.67
Chapter 5.4.1 --- The Clustalw Algorithm --- p.68
Chapter 5.4.2 --- MSA Using SSST --- p.70
Chapter 5.4.3 --- Time and Space Complexity Analysis --- p.70
Chapter 5.5 --- Experiments --- p.71
Chapter 5.5.1 --- Experiment Setting --- p.72
Chapter 5.5.2 --- Experimental Results --- p.72
Chapter 5.6 --- Summary --- p.80
Chapter 6 --- Applications: Marker Extractions --- p.81
Chapter 6.1 --- Introduction --- p.81
Chapter 6.2 --- Problem Statement --- p.82
Chapter 6.3 --- The Multiple Sequence Alignment Approach --- p.85
Chapter 6.3.1 --- Design --- p.85
Chapter 6.4 --- Reference Sequence Alignment Approach --- p.88
Chapter 6.4.1 --- Design --- p.90
Chapter 6.5 --- Time and Space Complexity Analysis --- p.95
Chapter 6.6 --- Experiments --- p.95
Chapter 6.7 --- Summary --- p.99
Chapter 7 --- HBV Application Framework --- p.101
Chapter 7.1 --- Motivations --- p.101
Chapter 7.2 --- The Procedure Flow of the Application --- p.102
Chapter 7.2.1 --- Markers Extractions --- p.103
Chapter 7.2.2 --- Rules Training and Prediction --- p.103
Chapter 7.3 --- Results --- p.105
Chapter 7.3.1 --- Clustering --- p.106
Chapter 7.3.2 --- Classification --- p.107
Chapter 7.4 --- Summary --- p.110
Chapter 8 --- Conclusions --- p.112
Chapter 8.1 --- Contributions --- p.112
Chapter 8.2 --- Future Works --- p.114
Chapter 8.2.1 --- HMM Learning --- p.114
Chapter 8.2.2 --- Splice Sites Learning --- p.114
Chapter 8.2.3 --- Faster Algorithm for Multiple Sequences Alignment --- p.115
Bibliography --- p.121
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Lopes, Andreia Maria da Silva Carrilho Duarte. "Finding new opportunities in the Lisbon market through Whitaker consumer lifestyle segmentation." Master's thesis, 2015. http://hdl.handle.net/10362/15580.
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A sample of 445 consumers resident in distinct Lisbon areas was analyzed through direct observations in order to discover each lifestyle’s current proportion, applying the Whitaker Lifestyle™ Method. The findings of the conducted hypothesis tests on the population proportion unveil that Neo-Traditional and Modern Whitaker lifestyles have the significantly highest proportion, while the overall presence of different lifestyles varies across neighborhoods. The research further demonstrates the validity of Whitaker observation techniques, media consumption differences among lifestyles and the importance of style and aesthetics while segmenting consumers by lifestyles. Finally, market opportunities are provided for firms operating in Lisbon.
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簡順源. "Integration of Self-Organizing Feature Maps and GA-Based Clustering Method for Market Segmentation in Data Mining." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/72765963801606677737.
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碩士國立臺北科技大學
生產系統工程與管理研究所
89
Data mining has become popular and is a rapidly emerging field. Various data mining techniques can be used to improve decision support systems. In this research, clustering technology for market segmentation is the main theme. Genetic algorithms (GA) are theoretically and empirically found to provide global near-optimal solutions for various complex optimization problems. Since GA is good at searching, GA can cluster the data according to their similarities. This research proposes a two-stage method, which first uses the Self-Organizing Feature Maps (SOM) to determine the number of clusters and then employs GA-based clustering method to find the final solution (it is defined as S+G in this research). Besides, a modified two-stage method, which first uses the self-organizing feature maps to determine the number of clusters and the starting points and then employs the K-means method to find the final solution, is proposed by Kuo [1] for market segmentation (it is defined as S+K in this research). The computational performance of K-means, S+K, and S+G is compared via a Monte Carlo study. As this research, S+G gets better computational performance than the other two methods based on within-cluster variations (SSW). In order to further testify the proposed approach, S+G, a real-world problem, the wireless telecommunications industry market segmentation, is employed. The questionnaire is designed, and factor analysis technique is used to extract the factors, as the basis of market segmentation. It is expected to make some suggestions about market strategy for the wireless telecommunications industry.
Books on the topic "Market segmentation methods"
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Carl, Finkbeiner, and Feldman Shel, eds. Segmentation marketing: New methods for capturing business markets. New York: HarperBusiness, 1992.
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Wedel, Michel. Market segmentation: Conceptual and methodological foundations. Boston: Kluwer Academic, 1998.
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Myers, James H. Segmentation and positioning for strategic marketing decisions. Chicago: American Marketing Association, 1996.
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Naumov, Vladimir. Markets information and communication technology and sales organization. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/21026.
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In the textbook sets out the basic information about the structure of markets, information and communication technologies (ICT), the methods of their research, assessing the attractiveness and forecasting, criteria and methods of segmentation. Deals with the organization of the sales Department of an IT company, involving analysis of organizational forms, population division, methods of remuneration and non-material incentives for experts dealing with sales of ICT products. Sets out the methodology for strategic sales of complex IT solutions, the technique of negotiation and the basics of neurolinguistic programming.
The textbook pays attention to the peculiarities of the sales and promotion of ICT products through the Internet, the possibilities of the use of CRM systems. The principles of the organization of partnerships with clients. This methodical approaches to the assessment of the efficiency of the sales Department of an IT company and its sales staff. Discusses the economic evaluation of the project implementation in selling IT solutions.
The textbook is prepared in accordance with the requirements of Federal state educational standard of higher education of the last generation.
Designed for students enrolled in training 38.03.05 "Business-Informatics", but it can be useful to students from other disciplines and practitioners working in the field of information and communication technologies.
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Reznik, Galina. Marketing. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1242303.
Full textAbstract:
The textbook is the fourth edition, contains a detailed presentation of the topics of the discipline "Marketing". In an accessible and understandable form, the key concepts of the discipline "Marketing"are considered. In particular, the reader will get an idea of the essence of marketing, its types, principles, functions and basic elements; the environment of marketing and the conditions in which it can be applied. The textbook reveals the concept of the market, its types, capacity and segmentation; competition, its types, the role of the enterprise in the competition in order to achieve key success factors. Considerable attention is paid to the concepts of "product", "product", their distinctive features. The essence of product distribution is revealed and the features of marketing logistics as a method of managing product promotion channels are given.
The textbook also includes a bibliographic list, questions for self-control, tests, which will allow you to study the course "Marketing" more fully.
Meets the requirements of the federal state educational standards of higher education of the latest generation.
For bachelors studying in the direction of training 38.03.02 "Management".
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Finkbeiner, Carl, and John Berrigan. Segmentation Marketing: New Methods for Capturing Business Markets. HarperCollins, 1994.
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Kamakura, Wagner A., and Michel Wedel. Market Segmentation: Conceptual and Methodological Foundations (International Series in Quantitative Marketing). 2nd ed. Kluwer Academic Publishers, 2000.
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Kamakura, Wagner A., and Michel Wedel. Market Segmentation: Conceptual and Methodological Foundations (International Series in Quantitative Marketing). Springer, 1997.
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Carey, Sandra. Tour operators' market segmentation techniques and their effectiveness: A proposal for a new segmentation method. 1997.
Find full textBook chapters on the topic "Market segmentation methods"
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Katsoni, Vicky, Maria Giaoutzi, and Peter Nijkamp. "Market Segmentation in Tourism: An Operational Assessment Framework." In Quantitative Methods in Tourism Economics, 329–52. Heidelberg: Physica-Verlag HD, 2012. http://dx.doi.org/10.1007/978-3-7908-2879-5_18.
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Saridakis, Charalampos, Stelios Tsafarakis, George Baltas, and Nikolaos Matsatsinis. "Advances in Market Segmentation through Nature-Inspired Intelligence Methods: An Empirical Evaluation." In Advances in Intelligent Systems and Computing, 59–66. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00569-0_8.
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Shigemasu, Kazuo, Takuya Ohmori, and Takahiro Hoshino. "Market Segmentation Method From the Bayesian Viewpoint." In Between Data Science and Applied Data Analysis, 595–603. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-18991-3_68.
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Kaleem, Muhammad, M. Sanaullah, M. Ayyaz Hussain, M. Arfan Jaffar, and Tae-Sun Choi. "Segmentation of Brain Tumor Tissue Using Marker Controlled Watershed Transform Method." In Communications in Computer and Information Science, 222–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28962-0_22.
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Mowerman, Illya, and Scott Lloyd. "Data Mining for Market Segmentation with Market Share Data." In Data Mining Methods and Applications, 149–62. Auerbach Publications, 2007. http://dx.doi.org/10.1201/b15783-10.
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Nacar, Ramazan, and Nimet Uray. "The Challenge of International Market Segmentation in Emerging Markets." In Handbook of Research on Impacts of International Business and Political Affairs on the Global Economy, 42–61. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9806-2.ch003.
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Increasing paradoxical effects of globalization resulted in the increased homogenization and heterogenization of international markets. Globalization with its varying effects also increased the significance of international market segmentation over the last few decades. Despite the increased presence and usage of international market segmentation, in recent times, the rise of emerging markets have challenged the concepts and methods of international market segmentation. In order to address key issues of international market segmentation in emerging markets, this study briefly examined and assessed foremost conceptual and methodological issues of international market segmentation in emerging markets. Suggestions and future research directions are also provided.
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Nacar, Ramazan, and Nimet Uray. "The Challenge of International Market Segmentation in Emerging Markets." In International Business, 2274–93. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9814-7.ch104.
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Increasing paradoxical effects of globalization resulted in the increased homogenization and heterogenization of international markets. Globalization with its varying effects also increased the significance of international market segmentation over the last few decades. Despite the increased presence and usage of international market segmentation, in recent times, the rise of emerging markets have challenged the concepts and methods of international market segmentation. In order to address key issues of international market segmentation in emerging markets, this study briefly examined and assessed foremost conceptual and methodological issues of international market segmentation in emerging markets. Suggestions and future research directions are also provided.
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Johnson, Trent Edward, Lukas Danner, and Susan Elaine Putnam Bastian. "Consumer Segmentation Methods for the Wine Market." In Reference Module in Food Science. Elsevier, 2017. http://dx.doi.org/10.1016/b978-0-08-100596-5.21419-4.
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Lekakos, George, and Konstantinos Chorianopoulos. "Personalized Advertising Methods in Digital Interactive Television." In Encyclopedia of Multimedia Technology and Networking, Second Edition, 1142–47. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-014-1.ch155.
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The ability to deliver personalized advertising messages has long been a major objective in marketing since it allows marketers to meet heterogeneous consumer needs and target their messages more effectively (Arens & Bovee, 1994). However, traditional one-to-many marketing approaches applied in mass media suffer from their inability to meet this objective (Dibb, 1998; Hoffman & Novak, 1997). In order to increase the efficiency of their strategy, marketers identify homogeneous groups of consumers (market segmentation) which they target according to their marketing objectives. Thus, market segmentation has become the most important marketing tool for targeting purposes (McBurnie & Clutterbuck, 1998), also utilized in the TV advertising domain in conjunction with domain-specific features such as time zones and/or program typologies. However, this strategy has admittedly little to offer towards the ultimate goal of one-to-one communication, since the targeted unit is the segment rather than the individual consumer, and therefore individual needs cannot be satisfied. In the broadcasting television advertising domain, media coverage either exceeds the targeted market segment or leaves potential customers without exposure to the message, thus reducing its cost effectiveness (Belch & Belch, 1995). At the same time, TV viewers have to deal with a vast amount of available advertising information. The issue of information overload, typical in information theoretic terms, is also experienced in the case of TV advertisements as advertising clutter, which has been identified as one of the significant factors associated with the negative attitude of viewers towards advertising and can have a negative impact on television advertisement recall or recognition (Mord & Gilson, 1985). Relevant surveys reveal that 80% of the viewers feel that there is “too much advertising in television” (Elliott & Speck, 1998), while more than 75% of consumers are not happy with the broadcasted advertisements (Hawkins, Best, & Coney, 1998 ). Current target marketing methods are limited in their ability to efficiently target consumers at the individual level, particularly in mass media such as television. Thus, personalization of advertisements provides marketers with the opportunity to increase advertising effectiveness by targeting consumers who are most likely to respond positively to the advertising message. The present article investigates appropriate personalization methods for the domain of digital television advertisements by examining relevant methods utilized for personalized Web applications. In addition, it is concerned with the design of the interactive elements of a typical 30-second advertisement in support of the personalization process. The two objectives of this article are interrelated: the selection of a personalization technique affects the design of interactive advertisements since it indicates the type of interaction data that should be collected in order to enable personalization. The next section of this article opens up the discussion on personalization from a theoretical point of view and in the following section specific personalization techniques are compared. Next, the types of interaction data required to achieve personalization are discussed and the article concludes with further discussion and conclusions.
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Ghosh, Sukanta, Shubhanshu Arya, and Amar Singh. "Plant Disease Detection Using Machine Learning Approaches." In Advances in Medical Technologies and Clinical Practice, 122–30. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7188-0.ch009.
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Agricultural production is one of the main factors affecting a country's domestic market situation. Many problems are the reasons for estimating crop yields, which vary in different parts of the world. Overuse of chemical fertilizers, uneven distribution of rainfall, and uneven soil fertility lead to plant diseases. This forces us to focus on effective methods for detecting plant diseases. It is important to find an effective plant disease detection technique. Plants need to be monitored from the beginning of their life cycle to avoid such diseases. Observation is a kind of visual observation, which is time-consuming, costly, and requires a lot of experience. For speeding up this process, it is necessary to automate the disease detection system. A lot of researchers have developed plant leaf detection systems based on various technologies. In this chapter, the authors discuss the potential of methods for detecting plant leaf diseases. It includes various steps such as image acquisition, image segmentation, feature extraction, and classification.
Conference papers on the topic "Market segmentation methods"
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Mikailova, Rana. "Methods of Segmentation and Positioning in the Product Market with Access to a New Foreign Market." In International Conference on Eurasian Economies. Eurasian Economists Association, 2020. http://dx.doi.org/10.36880/c12.02457.
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Entering a new foreign market has always remained an urgent problem. The interrelation of the internal and external commodity market is an important condition for the successful development of the economy of any country. Foreign experience shows that various strategic approaches are used for this purpose. The basic basis of the strategic approach is the systematic coverage of the product market, which includes undifferentiated marketing, differentiated marketing and concentrated marketing. Below we will consider in more detail the above strategic approaches to coverage of the product market. In particular, it is considered when an enterprise refuses features and explores the entire market from the position of a single approach. Differentiated marketing tactics are not about identifying a single need, but a general one. These include the formation of a product and a marketing program that will be useful to a significant number of consumers. A distinctive feature of differentiated marketing is that the company operates in a number of market segments and forms a distinctive offer for them. This approach is based on offering different products to the market in order to increase sales and penetrate deeper into the development of product market segments. Finally, concentrated marketing provides an opportunity for businesses to discover an additional opportunity that is more attractive from a resource constraint perspective. It is manifested by the concentration of efforts on a small share of a large commodity market.
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Bekhradi, Alborz, Bernard Yannou, Romain Farel, and Benjamin Zimmer. "Building of Usage Scenarios Space for Investigating the Fall Situations of the Elderly People." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12883.
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Assessing the number of users defined by a set of specific usage attributes in a given usage contextual situation is not always an obvious task in a market segmentation process. Although new approaches in design and marketing seem to be more sensitive to the adequacy of a design concept with the usage scenarios, these methods do not systematically consider the various usage situations. The present article puts forward a methodology intending to build a usage scenarios space in which the input data is thoroughly collected and validated. This methodology is applied to the complex and multifactorial issue of falls among the elderly in the Metropolitan France. In this paper, numerous medical publications have been made to study influential factors of fall situations. However, even solution providers for fall prevention and teleassistance ignore the real situational coverage of their solutions. As a result, “usage scenarios space” is built using an appropriate segmentation of usage contexts (here, fall situations) and user characteristics. These data are used for a design oracle to predict (simulate) the various and multiple usage scenarios.
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Cormier, Phillip, and Kemper Lewis. "Design Method Selection to Satisfy Consumer Variation: A Meta-Design Approach." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28901.
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Scientific fields typically have meta-heuristics that help scientists select appropriate modeling, analysis, or testing procedures based on problem parameters. For instance, the Reynolds number calculation dictates to fluid dynamicists the classification of the flow and subsequent modeling and analysis tools most appropriate to use. As engineering design matures into a field defined by scientific principles, there is a need for similar meta-heuristics to help designers select appropriate design tools and methods. There has been significant work developing design methods to support product development including robust design, product platforms, and reconfigurable design, among others. Many of these methods have matured into design paradigms but are still undergoing validation, exercise, and extension. However, when faced with a new product design (or re-design) problem, it is a challenging task to determine what methods or paradigms to subscribe to and implement; part of this decision involves whether to design a single product or a set of similar products (i.e., a product line). This is fundamentally a metadesign problem — the design of the design method. This paper proposes an approach to support this meta-design decision using market segmentation data and appropriate contextual information.
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Deselnicu, Dana Corina, Mihaela-Ramona Bulboaca, Dan Dumitriu, and Laurentia Alexandrescu. "Analysis of the bakery industry strategic groups in Romania." In The 8th International Conference on Advanced Materials and Systems. INCDTP - Leather and Footwear Research Institute (ICPI), Bucharest, Romania, 2020. http://dx.doi.org/10.24264/icams-2020.iii.4.
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The bakery industry is one with as many challenges as any other FMCG (Fast Moving Consumer Goods) industry. In this sense, at the basis of each strategic decision, in order to improve competitiveness, on a constantly moving market, is the knowledge of competitors, the actions taken by them but also the innovation processes in which they are engaged. This paper aims to analyze the strategic groups formed in the bakery industry in Romania in terms of competitiveness. The paper begins with the analysis of the bakery industry, based on the parameters identified in the literature, continues with the investigation of strategic groups of the analyzed industry, according to the number of products sold and the geographical coverage of its players. Some of the paper results include a series of possible solutions and decisions that each company could apply, considering this segmentation. Analyzing the strategic groups of the bakery industry in Romania using current data and innovative analysis methods. The results of the study revealed a map of the strategic groups formed in the bakery industry, useful for companies in order to establish future strategic directions for maintaining or increasing their competitive position in the market in which they operate.
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Lei, Ningrong, and Seung Ki Moon. "Decision Support Systems Design for Data-Driven Management." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34871.
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This article discusses a design methodology for a Decision Support System (DSS) in the area of Data-Driven Management (DDM). We partition the DSS into an offline and an online system. Through rigorous testing, the offline system finds the best combination of Data Mining (DM) and Artificial Intelligence (AI) algorithms. Only the best algorithms are used in the online system to extract information from data and to make sense of this information by providing an objective second opinion on a decision result. To support the proposed design methodology, we construct a DSS that uses DM methods for market segmentation and AI methods for product positioning. As part of the offline system construction, we evaluate four intrinsic dimension estimation, three dimension reduction and four clustering algorithms. The performance is evaluated with statistical methods, silhouette mean and 10-fold stratified cross validated classification accuracy. We find that every DSS problem requires us to search a suitable algorithm structure, because different algorithms, for the same task, have different merits and shortcomings and it is impossible to know a priory which combination of algorithms gives the best results. Therefore, to select the best algorithms is empirical science where the possible combinations are tested. With this study, we deliver a blueprint on how to construct a DSS for product positioning. The proposed design methodology can be easily adopted to serve in a wide range of DDM problems.
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Liu, Hao, Lirong He, Haoli Bai, Bo Dai, Kun Bai, and Zenglin Xu. "Structured Inference for Recurrent Hidden Semi-markov Model." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/339.
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Segmentation and labeling for high dimensional time series is an important yet challenging task in a number of applications, such as behavior understanding and medical diagnosis. Recent advances to model the nonlinear dynamics in such time series data, has suggested to involve recurrent neural networks into Hidden Markov Models. However, this involvement has caused the inference procedure much more complicated, often leading to intractable inference, especially for the discrete variables of segmentation and labeling. To achieve both flexibility and tractability in modeling nonlinear dynamics of discrete variables, we present a structured and stochastic sequential neural network (SSNN), which composes with a generative network and an inference network. In detail, the generative network aims to not only capture the long-term dependencies but also model the uncertainty of the segmentation labels via semi-Markov models. More importantly, for efficient and accurate inference, the proposed bi-directional inference network reparameterizes the categorical segmentation with the Gumbel-Softmax approximation and resorts to the Stochastic Gradient Variational Bayes. We evaluate the proposed model in a number of tasks, including speech modeling, automatic segmentation and labeling in behavior understanding, and sequential multi-objects recognition. Experimental results have demonstrated that our proposed model can achieve significant improvement over the state-of-the-art methods.
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Han, Xianwei, Yili Fu, and Haifeng Zhang. "A fast two-step marker-controlled watershed image segmentation method." In 2012 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2012. http://dx.doi.org/10.1109/icma.2012.6284337.
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Shetty, Mangala, and Balasubramani R. "Lactobacillus Bacterial Cell Segmentation Based on Marker Controlled Watershed Method." In 2018 Third International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT). IEEE, 2018. http://dx.doi.org/10.1109/iceeccot43722.2018.9001460.
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Xu, Hui, You-Xing Chen, and Chuan-yang Ruan. "Quantitative Analysis Method on International Market Segmentation Based on Fuzzy Clustering Model." In 2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA). IEEE, 2019. http://dx.doi.org/10.1109/icccbda.2019.8725774.
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Akbari, Davood, Saeid Homayouni, Abdolreza Safari, Safa Khazai, and Hossein Torabzadeh. "An improved marker selection method for hyperspectral image segmentation and classification." In 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2014. http://dx.doi.org/10.1109/whispers.2014.8077630.
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