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Dissertations / Theses on the topic 'Trends forecasting'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Wang, Fei. "Trend Transference: How to Transfer Trends to Design Concepts." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1282320567.

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CAMPOS, MARIA APARECIDA DE MORAES SIQUEIRA. "TRENDS FORECASTING: STRATEGIC ORIENTATION IN JEWELLERY DESIGN." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2007. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=10365@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>O mundo dos produtos, como as jóias, perfumes, alimentos ou automóveis, não escapa da necessidade de uma contínua renovação e antecipação. A pesquisa de tendências, enquanto observadora da sociedade e seu contexto econômico-político-cultural, torna-se essencial para o design no desenvolvimento de produtos. Esta dissertação propõe a construção de uma fundamentação teórica para a conceituação das tendências de moda e design, a atuação do pesquisador, a prática das pesquisas de tendências e sua relevância na orientação estraté

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Akintoye, Sunday Akintola. "Construction tender price index : modelling and forecasting trends." Thesis, University of Salford, 1991. http://usir.salford.ac.uk/14768/.

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The thesis considers the construction tender price index, an important area of construction economics, and models are developed to fit the trends in this index. Between 1980 and 1987, the UK Building Cost Index produced by the Building Cost Information Service increased at an annual rate of 6.3% compared with Tender Price Index 3.3% and Retail Price Index at 6.7% per annum. This significant disparity between Tender Price and Building Cost Index is unexpected in view of the attributed importance of input prices in the tender price formation. This suggests that other factors apart from input pri

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4

Strazza, Ernesto (Strazza Silva). "Trend dynamics : a method to improve the analysis, dissemination and forecasting of trends on the Internet." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90247.

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Thesis: S.M. in Management of Technology, Massachusetts Institute of Technology, Sloan School of Management, 2014.<br>43<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 74-76).<br>This thesis provides a new perspective in trend analysis with the acknowledgement of individuals as carriers of trends and susceptible to influence simultaneously by a trend's perceived significance and by external effects (media, peers, society, etc.), which reshape individuals' trend preferences according to the type, direction, and strength of the stimuli received. Internet t

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Mocke, Barend Adriaan. "An Evaluation of Qualitative Data as Leading Indicators of Trends in the Australian Economy." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/20121.

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The purpose of this study is to evaluate qualitative data as leading indicators of trends in the Australian economy. Economic forecasts usually take the form of quantitative forecasts where economic variables are estimated based on historical trends and relationships between official data as determined by econometric analyses. Economic forecasts based on qualitative techniques, in contrast, focus on the psychological aspects of the relationship between attitudes and economic behaviour. Expectations about future business conditions are formed by taking into account all relevant information, inc

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6

YERRAMILLI, CHINMAYA R. "ANALYSIS OF TRENDS AND PATTERNS IN METAL EVOLUTION." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1109186023.

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7

Moyo, Vusumuzi. "The generalization ability of artificial neural networks in forecasting TCP/IP network traffic trends." Thesis, University of Fort Hare, 2014. http://hdl.handle.net/10353/d1021127.

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Artificial Neural Networks (ANNs) have been used in many fields for a variety of applications, and proved to be reliable. They have proved to be one of the most powerful tools in the domain of forecasting and analysis of various time series. The forecasting of TCP/IP network traffic is an important issue receiving growing attention from the computer networks. By improving upon this task, efficient network traffic engineering and anomaly detection tools can be created, resulting in economic gains from better resource management. The use of ANNs requires some critical decisions on the part of th

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8

Marquês, João Carlos de Carvalho Branco Perdigão. "Global and direct solar radiation at surface over Iberian Peninsula: variability, trends and forecasting." Doctoral thesis, Universidade de Évora, 2021. http://hdl.handle.net/10174/29807.

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Besides being the key to Earth's climate, global solar radiation at the surface ( ) is one of the most valuable renewable resources. This way, an adequate knowledge of the solar resource is critical as an assessment for a strategic planning of projects related to the production of solar energy. Therefore, the main goals of this thesis is to analyze past changes and variability of solar radiation fluxes in Portugal and Iberia Peninsula (IP) using observational available measurements, ERA−40 and NCEP/NCAR reanalysis datasets and, predict and characterize the solar radiation at the surface over

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9

Sundqvist, Lovisa, and Annie Wrang. "Vikten att följa trender - en inköpares dilemma? : En tvärsnittsstudie om beslutsfattandet inom svenska modeföretags inköpsprocesser." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-173.

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Sedan millenniumskiftet förändrades modevärlden radikalt av fler säsonger, ökad mångfald av trender samtidigt som trendernas livslängds blev allt kortare. Hos inköparna på de stora klädbolagen ställs det idag ett allt större krav att veta vad som kommer att sälja i framtiden. Idag måste besluten tas snabbt så att kläderna hinner producera och levereras i tid innan modet hinner ändra sig. Som ett hjälpmedel för inköpare och designers om i vilken riktning modet kommer att gå finns trender som fungerar som ett avgränsat modeuttryck för att förmedla och tolka en viss stil och därmed ge en tydlig b

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10

Liu, Nairui. "Novel applications of modelling techniques to understand and predict global urban air quality trends." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/208434/1/Nairui_Liu_Thesis.pdf.

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The aim of this study was to explore novel applications of modelling techniques to advance analytical methods towards addressing urban atmospheric environment problems and possible solutions. Four selected models known as SVR, STL, WRF, and LSTM were used to investigate: the correlation between social development and air quality, the trend of severe air pollution episodes on a global scale, urban heat island effect mitigation measures, and how to extend the use of air quality monitoring data. This study led to improved analysis of global urban atmospheric environment problems and the formulati

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11

Gonçalves, Fátima Marques. "A nova realidade do consumo. O coolhunting como metodologia de investigação de tendências aplicáveis ao Design e à Moda." Master's thesis, Faculdade de Arquitetura de Lisboa, 2012. http://hdl.handle.net/10400.5/5762.

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12

Andersson, Lisa, and Hanna Sörensen. "“We may see something but if we fail to notice, we are essentially blind..” : A study of what methods companies use when analysing the surrounding world." Thesis, Umeå University, Umeå School of Business, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1174.

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<p>ABSTRACT</p><p>The conditions on the market are rapidly changing and businesses in Sweden need to seize signals of change in time, in order to have a strong market position. The ability to make the right decisions and react in time is vital due to the increasing competition and a mistake can have devastating consequences for a company. The aim of this thesis is to investigate what tools and methods businesses use to analyse the surrounding world, which has lead to following research question:</p><p>How do businesses analyse the surrounding and predict trends and what factors in the society

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Câmara, Renato de Oliveira. "Previsão da taxa de desemprego no Brasil com agregação de informações da plataforma Google Trends." Master's thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/20551.

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Mestrado em Econometria Aplicada e Previsão<br>Geralmente, investidores, analistas e bancos centrais necessitam das informações mensais divulgadas pelos institutos governamentais de estatísticas para analisar as condições económicas vigentes e tomar decisões tempestivas. Entretanto, dada a relativa complexidade das pesquisas realizadas para elaborar os indicadores económicos, não é possível dispor imediatamente dos dados após o encerramento de cada mês, isto é, ocorre um delay na sua divulgação. Sendo assim, fontes alternativas de informações têm sido exploradas para auxiliar na previsão das v

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Kolchyna, Olga. "Evaluating the impact of social-media on sales forecasting : a quantitative study of world's biggest brands using Twitter, Facebook and Google Trends." Thesis, University College London (University of London), 2017. http://discovery.ucl.ac.uk/10040448/.

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In the world of digital communication, data from online sources such as social networks might provide additional information about changing consumer interest and significantly improve the accuracy of forecasting models. In this thesis I investigate whether information from Twitter, Facebook and Google Trends have the ability to improve daily sales forecasts for companies with respect to the forecasts from transactional sales data only. My original contribution to this domain, exposed in the present thesis, consists in the following main steps: 1. Data collection. I collected Twitter, Facebook

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15

Penry, Jason Coy. "Forecasting the financial trends facing intercollegiate athletic programs of public institutions as identified by athletic directors of the ACC, Big 12 and SEC Conferences." Diss., Texas A&M University, 2008. http://hdl.handle.net/1969.1/86021.

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The purpose of this research was to provide a forecast of financial trends in major intercollegiate athletics over the next 15 years for strategic planning purposes. This study focused specifically on the trends of revenue generation and cost containment in the athletic departments of the public institutions in the ACC, Big 12 and SEC Conferences. Most of these large programs are expected to externally produce a majority of their fiscal resources and compete at a high level. This forecast is important because of administrator's increasing difficulty to find the fiscal resources to adequately s

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16

Havlanová, Jana. "Výzkum trhu oken." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-76705.

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The aim of my master thesis is an overall analysis of the window market in the Czech Republic and determining the main characteristics of this market. In the description of the Czech window market I focus on the analysis of market players, who are forming the microenvironment. I describe the effects of macro environment and it's expected developments. SWOT analysis reflects the individual strengths and weaknesses of the Czech doors manufactures, and also the opportunities and threats which can concerns to the market of hole fillings. Market potential, market capacity, market saturation and mar

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17

Poli, Francesco. "The Information Content of Financial Textual Data: Creating News Measures for Volatility Modeling and for the Analysis of Price Jumps." Doctoral thesis, Università degli studi di Padova, 2017. http://hdl.handle.net/11577/3426324.

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We retrieve news stories and earnings announcements of the S&P 100 constituents from two professional news providers, along with ten macroeconomic indicators. We also gather data from Google Trends about these firms' assets as an index of retail investors' attention. Thus, we create an extensive and innovative database that contains precise information with which to analyze the link between news and asset price dynamics. We detect the sentiment of news stories using a dictionary of sentiment-related words and negations and propose a set of more than five thousand information-based variables th

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18

Kalapati, Raga S. "Analysis of Ozone Data Trends as an Effect of Meteorology and Development of Forecasting Models for Predicting Hourly Ozone Concentrations and Exceedances for Dayton, OH, Using MM5 Real-Time Forecasts." University of Toledo / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1091216133.

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Kalapati, Raga Smitha. "Analysis of ozone data trends as an effect of meteorology and development of forecasting models for predicting hourly ozone concentrations and exceedances for Dayton, OH, using MM5 real-time forecasts /." See Full Text at OhioLINK ETD Center (Requires Adobe Acrobat Reader for viewing), 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=toledo1091216133.

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Thesis (M.S.V.)--University of Toledo.<br>Typescript. "A thesis [submitted] as partial fulfillment of the requirements of the Master of Science degree in Civil Engineering." Includes bibliographical references (leaves 74-83).

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20

Sánchez, Sánchez Almudena. "Modelling the evolution dynamics of the academic performance in high school in Spain. Probabilistic predictions of future trends and their economical consequences." Doctoral thesis, Universitat Politècnica de València, 2013. http://hdl.handle.net/10251/32280.

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En esta tesis, se utilizan t ecnicas matem atico-epidemiol ogicas para modelar el rendimiento acad emico en Espa~na (prestando especial atenci on en el fracaso escolar) para comprender mejor los mecanismos detr as de esta importante cuesti on, as como para predecir c omo evolucionar an los resultados acad emicos en el Bachillerato espa~nol en los pr oximos a~nos. El nivel educativo de Bachillerato en Espa~na est a formado por los dos ultimos cursos antes de acceder a la universidad o al mercado de trabajo y corresponde a los estudiantes de 16 18 a~nos. Este nivel educativo es muy impo

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21

Frohm, Pauline, and Kara Xenia Tucholke. "The trend forecasting paradox? : An exploratory study of the compatibility of trend forecasting and sustainability." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-23475.

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Trend forecasting is perceived to be an essential service for fashion companies to use in order to stay competitive in the fast-paced fashion industry. Yet, in times of climate change, appointing new trends each season is a questioned practice. Since trend forecasting aligns with the inherent obsolescence of fashion’s constant change, forecasting seems to stand in paradox with the imperatives of sustainability. Thus, this thesis aims to explore the role of trend forecasting to understand its compatibility with environmental sustainability. The review of previous research depicts the evolution

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22

Fu, Shiyuan. "A Comparison And Conclusive Integration of Trend Analysis Processes." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1313427101.

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23

Kwan, Wai-ching Josephine. "Trend models for price movements in financial markets /." [Hong Kong] : University of Hong Kong, 1994. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13841397.

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24

Atanackov, NatasÌŒa. "Trend forecasting by constrained optimisation and method selection protocols." Thesis, Brunel University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.400597.

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25

Flannery, Emily. "Futures Doing: Evolving Trend Forecasting in Pedagogy and Practice." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1553613454560132.

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26

Twine, Christine. "The use of trend forecasting in the product development process." Thesis, Manchester Metropolitan University, 2015. http://e-space.mmu.ac.uk/600391/.

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Fashion trend forecasting is often personnel and company dependant and is more likely to be influenced by intuition and personal inspiration. Trend forecasting had been regarded as a driving force of the fashion industry in determining the new fashion trends in fabric, colour and style. There is a dearth of information on the utilisation and application of trend forecasting. There was a need to explore the application of trend forecasting within contemporary design and retail environments. Hence, the rationale of this investigation was to identify how and where trend forecasting is incorporate

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Chowdhury, Tondra Farhana. "Investigation and forecasting drift component of a gas sensor." Thesis, Linköpings universitet, Statistik och maskininlärning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-172890.

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Chemical sensor based systems that are used for detection, identification, or quantification of various gases are very complex in nature. Sensor response data collected as a multivariate time series signals encounters gradual change of the sensor characteristics(known as sensor drift) due to several reasons. In this thesis, drift component of a silicon carbide Field-Effect Transistor (SiC-FET) sensor data was analyzed using time series. The data was collected from an experiment measuring output response of the sensor with respect to gases emitted by certain experimental object at different tem

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Afolabi, David Olalekan. "Interference reduction in classification and forecasting tasks through cluster and trend analysis." Thesis, University of Liverpool, 2018. http://livrepository.liverpool.ac.uk/3027593/.

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In order to classify or predict accurately in classification or time series tasks, the model building process is substantially dependent on the quality of data which is available for training such models. Consequently, reduced performance can be observed when input attributes/patterns have a conflicting influence on the learning process either due to intrinsic weak discrimination factor of some specific input attributes or as a result of outliers/anomaly picked up during data acquisition/entry. Several hypotheses are proposed, defined, and empirically tested to achieve an interference-less mac

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29

Steffie, Muvira Johanna. "Sustainability communication : Trend institutes’ influence on thedecision-making of a fashion designer." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-972.

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Purpose & research questions: The purpose of this paper is to investigate the roleand influence trend institutes have on the decision a designer makes in the designand development of a garment/product’s lifecycle. Theoretical approach: The theoretical framework is based on the theories ofsustainability and trends but also on previous studies and models concerning thefashion design process and the environmental aspects of a garment’s lifecycle. Research Approach: The research uses a qualitative method based on multiple casestudies as research design. Conclusion: This research reveals that t

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30

Rodrigues, Antonio Jose Lopes. "Dynamic regression and supervised learning methods in time series modelling and forecasting." Thesis, Lancaster University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364365.

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31

Moschopoulos, Theodosios, and Sofia Dahlström. "Colour Forecasting and its managerial implications." Thesis, Högskolan i Borås, Institutionen Textilhögskolan, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-16778.

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In this thesis we examine the colour forecasting process, its methodology and how it is communicated and used in fashion companies. The study is foremost based on qualitative research and on semi-structured interviews with people within the forecasting industry. We have divided the data collection process that constitutes the basis of the actual forecast into steps, which consist of gathering both objective facts and more soft, subjective experiences. After having collected the data, colour forecasters start their analysis by breaking them down into thematical categories that depict specific p

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32

Michálková, Simona. "Forecasting Ability of the Phillips Curve." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-203770.

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The aim of this paper is to investigate various versions of the Phillips curve and their inflation forecasting ability for Euro Area. We consider autoregressive distributed lag models and use two types of trend estimation -- successive (the trend is estimated before the remaining parameters are) and join, using exponential smoothing. The versions of the Phillips curve are evaluated by rolling and recursive window methods, various selection criteria for lag variables and different combination of the inflation indicators. To evaluate the forecasted values, we calculate the RMSE in three 7-year p

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33

關惠貞 and Wai-ching Josephine Kwan. "Trend models for price movements in financial markets." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1994. http://hub.hku.hk/bib/B31211513.

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鄭子山 and Tze-shan Cheng. "Trend forecasting of tropical cyclone behaviour using Eigenvector analysis of the relationship with 500 hPa pattern." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1988. http://hub.hku.hk/bib/B31208125.

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Raeside, Robert. "Modelling and forecasting human populations using sigmoid models." Thesis, Edinburgh Napier University, 1987. http://researchrepository.napier.ac.uk/Output/1053286.

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Early this century "S-shaped" curves, sigmoids, gained popularity among demographers. However, by 1940, the approach had "fallen out of favour", being criticised for giving poor results and having no theoretical validity. It was also considered that models of total population were of little practical interest, the main forecasting procedure currently adopted being the bottom-up "cohort-component" method. In the light of poor forecasting performance from component methods, a re-assessment is given in this thesis of the use of simple trend models. A suitable means of fitting these models to cens

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36

Seca, José Diogo Teixeira de Sousa. "Forecasting stock trends through Machine Learning." Master's thesis, 2019. https://hdl.handle.net/10216/121271.

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LIN, JI-YU, and 林碁域. "A Study on Stock Price Trends Forecasting." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/47741054909695966393.

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碩士<br>國立高雄大學<br>亞太工商管理學系碩士班<br>104<br>Stock market is a complex, changeful and dynamic system, and stock price trends affect the interest of investors, thus it attracts investors’ attention widely. Because stock price is fluctuating, and investors encounter inevitable risk, forecasting and analysis of investment planning is very important. This research uses time series method to forecast the stock price of three Taiwan listed companies. Using time series to forecast the decreasing daily price trends is accurate. Comparing the accuracy of three stock price trends forecasting, the best one is l

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Yan, Yu-An, and 顏妤安. "Forecasting Television Ratings with Trends and Social Information." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/26089446027508592294.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>102<br>Because of rising of web services such as search engine and social network, there are more and more information we can extract from the internet. In this paper, we propose a　method to utilize information from the internet to enhance the performance of TV rating prediction models. We extract features such as trends of search query, posts and opinion on Facebook; apply two common models for TV rating prediction, Support Vector Regression and Gaussian Process Regression, with these features, and demonstrate that they can be useful for TV rating prediction. Furth

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"DB 2020: Analyzing and Forecasting DB Market Trends." Master's thesis, 2014. http://hdl.handle.net/2286/R.I.27483.

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abstract: Over the last two decades, Alternative Project Delivery Methods (APDM), such as Design-Build (DB), have become more popular in the construction industry, specifically in the U.S., and the competition for APDM projects has risen among construction companies. The Engineering News Record (ENR) magazine analyzes DB firms and publishes the list of the top 100 every year. According to ENR articles and many scientific papers, the implementation of DB method has grown drastically over the last decade, however, information about growth trends depending on firm size and segment is lacking. Als

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Chung, Jen-Ming, and 鍾任明. "Forecasting Intraday Stock Price Trends with Text Mining Techniques." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/58168719801079876058.

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碩士<br>中原大學<br>資訊管理研究所<br>93<br>Investors will look for probable investment information from numerous electronic publishing that to make investment decision. More and more news presented by electronic format in the information age. The immediate news includes investment information besides will response to stock market. How to deal with the mass unstructured data efficiently is an important issue. Stock price trend forecasting based on structured data enjoys great popularity, but no matter using the statistics methods or machine learning algorithms still use structured numerical data. Though ha

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Ward, Benjamin D. "Forecasting short term trends in prices of U.S. stock market." 2006. http://etd1.library.duq.edu/theses/available/etd-11262006-224050/.

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Huang, Pao Hsiung, and 黃柏雄. "Keyword Selection for Google Trends in Forecasting Sales by ARIMAX." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/43478672589707707870.

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碩士<br>國立暨南國際大學<br>資訊管理學系<br>104<br>What is an expert? In 2007 Harvard Business Reviews published an article “The making of an expert,” “It takes time to become an expert. Even the most gifted performers need a minimum of ten years of intense training before they win international competitions.” (Ericsson, et al. 2007). A forecast analyst could be experts at using the best modeling to make accurate predictions, but will face many different kinds of products, and services. Many times to make accurate assessment would require knowing the product or services really well. However, it would requi

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Lai, Way-Ing, and 賴維瑩. "Forecasting Mobile Phone Built In Pico-Projection Module Technology Development Trends." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/39535493918404380659.

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碩士<br>國立交通大學<br>理學院應用科技學程<br>99<br>Pico-projector is one of newly developing industry in 2011. Current technology of pico-projector is still in improvement. However, the force of improvement requires market to support. The biggest market of worldwide consumer electronics is mobile phone. Shipment of mobile phones is already reach 1.3 billion in 2010. The number is still growing. Most of them are smart phones. The growing market provides potential to accelerate new technology. Therefore, mobile phone with pico-projector built-in could be anticipated to reach certain scale of economics. Current

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Saenz, A. Vivian, and 謝薇安. "Forecasting Tourist inflow using Google Trends data The case of Taiwan." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/s28r33.

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碩士<br>國立政治大學<br>應用經濟與社會發展英語碩士學位學程(IMES)<br>106<br>Google Trend is an Online tool that provides information to daily and weekly data on the frequency of certain search keywords, objects, and phrases in a given time period. A number of studies showed that these data can be used to ‘'Nowcasting''and‘'Google Forecasting Econometrics'', it can be concluded that data on the Internet search can be used in predictive purposes in the wider area of economic activity. As many studies have already pointed out the value of data on the Internet searching for the purpose of predictions of tourist demand in t

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Chen, Shen-wen, and 陳聖文. "Fuzzy Forecasting Based on Fuzzy-Trend Logical Relationship Groups and the Probabilities of Trends of Fuzzy Logical Relationships." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/76779422032837827537.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>101<br>In this thesis, we present a new method for fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and the probabilities of trends of fuzzy-trend logical relationships. Firstly, the proposed method fuzzifies the historical training data of the main factor and the secondary factor into fuzzy sets, respectively, to form two-factors second-order fuzzy logical relationships. Then, it groups the obtained two-factors second-order fuzzy logical relationships into two-factors second-order fuzzy-trend logical relationship groups. Th

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Hsu, Hao-Hsin, and 許顥馨. "Forecasting Taiwan Stock Index Futures Trends and ConstructingTrading Strategies Using Machine Learning." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/r8rws4.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>107<br>Forecasting the dynamics of financial market has always been a problem that many investors and researchers try to solve. In this research, we tried to build a stable model to predict market trends through machine learning, and used this model to design a strategy that can make profits in Taiwan stock index futures. First, we selected three different machine learning models: logistic regression, random forest and LSTM, and divided the trend into three categories: upward trend, downward trend and consolidation trend. Next, we selected the most suitable model fr

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Chen, Ren Hua, and 陳人華. "A study of forecasting Taiwan stock price trends by applying news text mining technique." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/25850464248552763360.

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碩士<br>國立政治大學<br>金融研究所<br>104<br>Stock market news is an important source of information for individual investors. In Taiwan exchange market, individual investors participation is still above 50% though it was on a decline for resent years. Some past research showed that news do affect returns of stocks. If we can find a way to extract the information in the news and build a trading strategy based on it, investors will gain additional profit from using the strategy─whether they combine the strategy with another. This study use SVM algorithm for automatic classification and for predicting Ta

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Chang, Chih-Hung, and 張志鴻. "Forecasting Variations and Trends in Water-Main Breaks- A Case Study of Taipei City." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/80698737817944516577.

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碩士<br>國立雲林科技大學<br>營建與物業管理研究所<br>97<br>Deterioration of water mains causes serious problems in major urban communities worldwide. This study presents the findings of a recent study conducted on pipe-break data in an effort to identify and categorize the key factors that contribute to the deterioration of water mains and examine the applicability of existing deterioration models for water mains in representing actual field conditions.The data used in this paper were collected from a municipality that has a large water distribution network in Taiwan. The effective planning of water distribution

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LEONG, WUN-MENG, and 梁煥明. "Using Sentiment Analysis , Google Trends and Support Vector Machine in Forecasting American College Football Outcomes." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/3vvy7r.

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碩士<br>國立暨南國際大學<br>資訊管理學系<br>105<br>In recent years, sentiment analysis and Google Trends are popular topics in academia. In this study, sentiment analysis and Google Trends were used to predict National Collegiate Athletic Association (NCAA) American Football. Tweets and Google Trends were used as datasets in this study .This study used text mining to select keywords of Google Trends and used official team names in Twitter to obtain tweets of teams. Particle swarm optimization Support Vector Machine( PSO-SVM ) was used to predict results. Finally, the accuracy of Google Trends is better than T

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Tsai, Sang-Bing, and 蔡尚斌. "Grey System Theory and Fuzzy Time Series Forecasting for Growth Trends of Green Electronic Materials." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/51630857134705668130.

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博士<br>中華大學<br>科技管理博士學位學程<br>102<br>The use of green materials reflects the concept that production materials should generate minimal environmental pollution through efforts that include the design and development of low-pollution materials, innovation and improvement of low-pollution manufacturing processes, and recycling and reuse of materials. Copper clad laminate (CCL) is a core material in PCB production. To satisfy environmental requirements, CCL substrates are typically coated with nonhalogen-based flame retardants to reduce flammability, thereby achieving environmental protection. Becau

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