Relevant bibliographies by topics / Data mining Case studies / Dissertations / Theses
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Dissertations / Theses on the topic 'Data mining Case studies'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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1

Xu, Jie. "MINING STATIC AND DYNAMIC STRUCTURAL PATTERNS IN NETWORKS FOR KNOWLEDGE MANAGEMENT: A COMPUTATIONAL FRAMEWORK AND CASE STUDIES." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1151%5F1%5Fm.pdf&type=application/pdf.

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Ben, Nasr Sana. "Mining and modeling variability from natural language documents : two case studies." Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S013/document.

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L'analyse du domaine vise à identifier et organiser les caractéristiques communes et variables dans un domaine. Dans la pratique, le coût initial et le niveau d'effort manuel associés à cette analyse constituent un obstacle important pour son adoption par de nombreuses organisations qui ne peuvent en bénéficier. La contribution générale de cette thèse consiste à adopter et exploiter des techniques de traitement automatique du langage naturel et d'exploration de données pour automatiquement extraire et modéliser les connaissances relatives à la variabilité à partir de documents informels. L'enj
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Madani, Farshad. "Opportunity Identification for New Product Planning: Ontological Semantic Patent Classification." PDXScholar, 2018. https://pdxscholar.library.pdx.edu/open_access_etds/4232.

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Intelligence tools have been developed and applied widely in many different areas in engineering, business and management. Many commercialized tools for business intelligence are available in the market. However, no practically useful tools for technology intelligence are available at this time, and very little academic research in technology intelligence methods has been conducted to date. Patent databases are the most important data source for technology intelligence tools, but patents inherently contain unstructured data. Consequently, extracting text data from patent databases, converting
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4

Šenovský, Jakub. "Dolování z dat v jazyce Python." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363895.

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The main goal of this thesis was to get acquainted with the phases of data mining, with the support of the programming languages Python and R in the field of data mining and demonstration of their use in two case studies. The comparison of these languages in the field of data mining is also included. The data preprocessing phase and the mining algorithms for classification, prediction and clustering are described here. There are illustrated the most significant libraries for Python and R. In the first case study, work with time series was demonstrated using the ARIMA model and Neural Networks
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Pena, Isis. "Utility-based data mining: An anthropometric case study." Thesis, University of Ottawa (Canada), 2008. http://hdl.handle.net/10393/27723.

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One of the most important challenges for the apparel industry is to produce garments that fit the population properly. In order to achieve this objective, it is crucial to understand the typical profile of consumer's bodies. In this work, we aim to identify the typical consumer from the virtual tailor's perspective. To this end, we perform clustering analysis on anthropometric and 3-D data to group the population into clothing sizes. Next, we perform multi-view relational classification to analyze the interplay of different body measurements within each size. In this study, we analyze three di
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Daley, Caitlin Marie. "Application of Data Mining Tools for Exploring Data: Yarn Quality Case Study." NCSU, 2008. http://www.lib.ncsu.edu/theses/available/etd-10292008-165755/.

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Businesses are constantly striving for a competitive edge in the economy, and data-driven decision making is crucial to achieve this goal. Four data mining tools, principal component analysis, cluster analysis, recursive partitioning, and discriminant analysis, were used to explore the major factors that contribute to ends down in a rotor spinning manufacturing process. Principal component analysis was used to explore the research question about whether the large number of cotton properties used to classify cotton could be reduced to a significant few. Cluster analysis was used to gain insight
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Ivanovskiy, Tim V. "Mining Medical Data in a Clinical Environment." Scholar Commons, 2006. http://scholarcommons.usf.edu/etd/3908.

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The availability of new treatments for a disease depends on the success of clinical trials. In order for a clinical trial to be successful and approved, medical researchers must first recruit patients with a specific set of conditions in order to test the effectiveness of the proposed treatment. In the past, the accrual process was tedious and time-consuming. Since accruals rely heavily on the ability of physicians and their staff to be familiar with the protocol eligibility criteria, candidates tend to be missed. This can result and has resulted in unsuccessful trials.A recent project at the
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桂宏胜 and Hongsheng Gui. "Data mining of post genome-wide association studies and next generation sequencing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/193431.

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Damle, Chaitanya. "Flood forecasting using time series data mining." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001038.

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Haneuse, Sebastian J. P. A. "Ecological studies using supplemental case-control data /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/9595.

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Abdull, Mohamed A. Salem. "Data mining techniques and breast cancer prediction : a case study of Libya." Thesis, Sheffield Hallam University, 2011. http://shura.shu.ac.uk/20611/.

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Different forms of cancer have been widely studied and documented in various studies across the world. However, there have not been many similar studies in the developing countries - particularly those on the African continent (Parkin, et al., 2005). This thesis seeks to uncover the geo-demographic occurrence patterns of the disease by applying three Data mining Techniques, namely Logistic Regression (LR), Neural Networks (NNs) and Decision Trees (DTs), to learn the underlying rules in the overall behaviour of breast cancer. The data, 3,057 observations on 29 variables obtained from four cance
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Charest, Michel. "Intelligent data mining assistance via case-based reasoning and a formal ontology." Thèse, Trois-Rivières : Université du Québec à Trois-Rivières, 2007. http://www.uqtr.ca/biblio/notice/resume/30000316R.pdf.

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Khan, Mohammed Saquib Akmal. "Efficient Spatio-Temporal Network Analytics in Epidemiological Studies using Distributed Databases." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/51223.

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Real-time Spatio-Temporal Analytics has become an integral part of Epidemiological studies. The size of the spatio-temporal data has been increasing tremendously over the years, gradually evolving into Big Data. The processing in such domains are highly data and compute intensive. High performance computing resources resources are actively being used to handle such workloads over massive datasets. This confluence of High performance computing and datasets with Big Data characteristics poses great challenges pertaining to data handling and processing. The resource management of supercomputers i
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Stönner, Christof [Verfasser]. "Application of data mining techniques to indoor and outdoor air studies / Christof Stönner." Mainz : Universitätsbibliothek Mainz, 2019. http://d-nb.info/1177193620/34.

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Bhansali, Neera, and nbhansali@yahoo com. "Strategic Alignment in Data Warehouses Two Case Studies." RMIT University. Business Information Technology, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080108.150431.

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This research investigates the role of strategic alignment in the success of data warehouse implementation. Data warehouse technology is inherently complex, requires significant capital investment and development time. Many organizations fail to realize the full benefits from it. While failure to realize benefits has been attributed to numerous causes, ranging from technical to organizational reasons, the underlying strategic alignment issues have not been studied. This research confirms, through two case studies, that the successful adoption of the data warehouse depends on its
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Godes, David Bradley. "Use of heterogeneous data sources : three case studies." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/61057.

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Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1989.<br>Title as it appears in the M.I.T. Graduate List, June 1989: Integration of heterogeneous data sources--three case studies.<br>Includes bibliographical references (leaf 159).<br>by David Bradley Godes.<br>M.S.
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Hao, Dayang. "Content extraction, analysis, and retrieval for plant visual traits studies." Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/5704.

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Thesis (M.S.)--University of Missouri-Columbia, 2008.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on August 12, 2009) Includes bibliographical references.
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Jiang, Shan Ph D. Massachusetts Institute of Technology. "Deciphering human activities in complex urban systems : mining big data for sustainable urban future." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101369.

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Thesis: Ph. D. in Urban and Regional Planning, Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 187-200).<br>"Big Data" is in vogue, and the explosion of urban sensors, mobile phone traces, and other windows onto urban activities has generated much hype about the advent of a new 'urban science.' However, translating such Big Data into a planning-relevant understanding of activity patterns and travel behavior presents a number of obstacles. This dissertation examines some
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Nekvapil, Viktor. "Data Mining in Customer Relationship Management: The Case of a Major Logistic Company." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-124538.

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The thesis addresses possibilities of deploying the open source data mining system LISp-Miner in the customer relationship management (CRM), specifically in the area of lead management. This is basically a process of finding information about potential customers, qualifying those customers according to their potential (future value), and turning the selected potential customers to real customers. The data used includes the records concerning the lead management of a major logistic company operating worldwide (the company wanted to stay in anonymity). The data is analysed using the LISp-Miner s
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Hughes, David Bryn. "Geotechnical engineering applications in opencast coal mining : case studies from Northern England." Thesis, University of Newcastle Upon Tyne, 2003. http://hdl.handle.net/10443/858.

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Opencast coal mining using mechanical excavators has taken place in Northern England for over sixty years. In the early years the excavations for coal were relatively shallow and of limited area, typically less than 20 m deep and 50 ha in plan. Nowadays with the deployment of very large draglines and hydraulic shovels, opencast mines can be over 200 m deep and up to 1,000 ha in area. The investigations, excavations and earthworks failures associated with this activity have provided a unique opportunity to study several geotechnical engineering aspects of the drift and solid geology of Northern
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Govinnage, Sunil Kantha. "Environmental Regulations of the Mining Industry: Two Case Studies from Western Australia." Thesis, Curtin University, 2018. http://hdl.handle.net/20.500.11937/75445.

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The study analyses the Western Australian mining regulatory framework of environmental compliance. Through the case studies of Yeelirrie uranium mining approval, and Collie coal mining, it identifies a dichotomy (Acts of Parliament and State Agreements) of mining legislation and multi-agency approach challenging effective environmental protection. Grounded in sustainability and social sciences approaches, the thesis draws from expert interviews to identify weaknesses and best practices. It makes recommendations for strengthening the implementation of the mining regulatory framework.
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Helmuth, Angelo. "Economic diversification of a mining town: a case study of Oranjemund." Thesis, Rhodes University, 2009. http://hdl.handle.net/10962/d1003843.

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Can mining industries and mining based localities promote Local Economic Development (LED)? This case study, on the mining town of Oranjemund, seeks to examine the economic diversification prospects of the town. Stakeholder views are considered and their aspirations determined, through an interview process. Relevant theories on economic development, growth and sustainability are outline. Lessons are drawn from local and international empirical studies on mining towns. The roles and contributions stakeholders and institutions could realize that could lead to local economic diversification and L
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Dong, Zheng. "Automated Extraction and Retrieval of Metadata by Data Mining : a Case Study of Mining Engine for National Land Survey Sweden." Thesis, University of Gävle, Department of Technology and Built Environment, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-6811.

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<p>Metadata is the important information describing geographical data resources and their key elements. It is used to guarantee the availability and accessibility of the data. ISO 19115 is a metadata standard for geographical information, making the geographical metadata shareable, retrievable, and understandable at the global level. In order to cope with the massive, high-dimensional and high-diversity nature of geographical data, data mining is an applicable method to discover the metadata.</p><p>This thesis develops and evaluates an automated mining method for extracting metadata from the d
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Perl, Henning [Verfasser]. "Security and Data Analysis - Three Case Studies / Henning Perl." Bonn : Universitäts- und Landesbibliothek Bonn, 2017. http://d-nb.info/1149154179/34.

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Kadambi, Rupasri. "Analysis of data mining techniques for customer segmentation and predictive modeling a case study /." Diss., Online access via UMI:, 2005.

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Thesis (M.S.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Dept. of Systems Science and Industrial Engineering, 2005.<br>Includes bibliographical references.
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Gunturkun, Fatma. "A Comprehensive Review Of Data Mining Applications In Quality Improvement And A Case Study." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608751/index.pdf.

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In today&lsquo<br>s world, knowledge is the most powerful factor for the success of the organizations. One of the most important resources to reach this knowledge is the huge data stored in their databases. In the analysis of this data, DM techniques are essentially used. In this thesis, firstly, a comprehensive literature review on DM techniques for the quality improvement in manufacturing is presented. Then one of these techniques is applied on a case study. In the case study, the customer quality perception data for driver seat quality is analyzed. Decision tree approach is implemented to i
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Davoodi, Alireza. "User modeling and data mining in intelligent educational games : Prime Climb a case study." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/45274.

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Educational games are designed to leverage students’ motivation and engagement in playing games to deliver pedagogical concepts to the players during game play. Adaptive educational games, in addition, utilize students’ models of learning to support personalization of learning experience according to students’ educational needs. A student’s model needs to be capable of making an evaluation of the mastery level of the target skills in the student and providing reliable base for generating tailored interventions to meet the user’s needs. Prime Climb, an adaptive educational game for students in
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LIEN, PO-CHUN, and 連柏鈞. "Big Data Mining Application with RapidMiner and Case Studies." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/vm7s9x.

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碩士<br>朝陽科技大學<br>資訊工程系<br>106<br>In recent years, the rapid development of computer technology and information industry has led to a significant increase in the amount of data. However, regarding these large and messy multidimensional data sets, we cannot quickly and effectively find the information that we need. Therefore, we have to use the data mining techniques to concentrate on extracting the information that we need from the data. In this thesis, we will introduce a relatively new data mining software, Rapidminer. We compare the Rapidminer with other data mining software via comparative a
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Lin, Ying-Jiun, and 林映均. "Case studies of applying data mining clustering techniques to evaluate service quality." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/35752749859521560775.

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碩士<br>國立彰化師範大學<br>行銷與流通管理研究所<br>97<br>The major objective of this study is to use self-organizing maps (SOM) and K-means method to cluster the consumers of E-Life Mall Corporation and Kuo-Kuang Motor Transport Company into appropriate categories. The service items concerned in this study fall into the first and fourth quadrants of the IPA matrix when Kano model is applied. This study uses data mining techniques to extract effective customer clusters, understand the differences among different clusters by Kano two-dimensional model, and analyze the importance and priority of clusters. The resul
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Shen, Yu-Ching, and 沈俞靜. "Applying data mining on outpatient medical record-Case studies of the pediatrics in a regional hospital." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/6g7c3j.

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碩士<br>國立虎尾科技大學<br>資訊管理研究所<br>97<br>This research made use of the outpatient data of pediatrics, and was divided into three main subjects to debate. （1） Because of different training background for each doctor, so there were some cognitive differences to using frequency of the same medicine, therefore, will the frequency of the patient''s medicine usage affect the rate of their future revisit examination? （2） To discuss the relationship between medical allowances of patients and their actions of see a doctor─will patient change their choice of medical treatment level, that when medical copaymen
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Li, Jie Ru, and 李杰儒. "A Data Mining Framework for Analyzing Key Factors of Unemployment Duration Using Bayesian Networks and Case Studies." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/01276367379244773198.

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碩士<br>國立清華大學<br>工業工程與工程管理學系<br>104<br>This study aims to develop a data mining framework to analyze key factors of unemployment duration and the complex relationships among each factor. Conducted on the basis of real data collected from a representative Human Resource Agency in Taiwan. In order to extract latent knowledge and patterns from huge data about job seekers. This study formulates research hypotheses based on literature review, domain expert knowledge and supported by Bayesian Network, statistical test and correlation coefficient to screen out 15 key factors of the job seekers’ “gener
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Fong, Ruei-Shiang, and 馮瑞祥. "Studies on Predicting the Outcome of Professional Baseball Games with Data Mining Techniques: MLB as a Case." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/13879224135755534063.

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碩士<br>中國文化大學<br>資訊管理學系<br>101<br>Professional baseball games emphasize data collection and analysis because each game provides plenty of data that needs to be analyzed. Data mining methods involve computer analysis techniques with which a crucial outcome can be found from a huge amount of data. The data mining techniques thus can be used to efficiently analyze the data of professional baseball and also avoid the mistakes often caused by manual analysis. This study aims to predict the outcome and scores of professional baseball games in MLB. The data of the study are all the regular season gam
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Chen, Li-Fei, and 陳麗妃. "A Hybrid Data Mining Framework with Rough Set Theory, Support Vector Machine, and Decision Tree and its Case Studies." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/30869955008789719497.

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博士<br>國立清華大學<br>工業工程與工程管理學系<br>95<br>Support vector machine (SVM), rough set theory (RST) and decision tree (DT) are methodologies applied to various data mining problems, especially for classification prediction tasks. Studies have shown the ability of RST for feature selection while SVM and DT are significantly on their predictive power. This research aims to integrate the advantages of SVM, RST and DT approaches to develop a hybrid framework to enhance the quality of class prediction as well as rule generation. In addition to build up a classification model with acceptable accuracy, the cap
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Dlamini, Wisdom Mdumiseni Dabulizwe. "Spatial analysis of invasive alien plant distribution patterns and processes using Bayesian network-based data mining techniques." Thesis, 2016. http://hdl.handle.net/10500/20692.

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Invasive alien plants have widespread ecological and socioeconomic impacts throughout many parts of the world, including Swaziland where the government declared them a national disaster. Control of these species requires knowledge on the invasion ecology of each species including how they interact with the invaded environment. Species distribution models are vital for providing solutions to such problems including the prediction of their niche and distribution. Various modelling approaches are used for species distribution modelling albeit with limitations resulting from statistical assumption
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Bassett, Cameron. "Cloud computing and innovation: its viability, benefits, challenges and records management capabilities." Diss., 2015. http://hdl.handle.net/10500/20149.

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This research investigated the potential benefits, risks and challenges, innovation properties and viability of cloud computing for records management on an Australian organisation within the mining software development sector. This research involved the use of a case study results analysis as well as a literature analysis. The literature analysis identified the ten potential benefits of cloud computing, as well as the ten risks and challenges associated with cloud computing. It further identified aspects, which needed to be addressed when adopting cloud computing in order to promote innovatio
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Armstrong, Joshua J. "Rehabilitation Therapy Services For Older Long–Stay Clients in the Ontario Home Care System." Thesis, 2013. http://hdl.handle.net/10012/7342.

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BACKGROUND Rehabilitation therapies are effective for older persons in home-based settings, and have the potential to save money for the health system, while also improving the quality of life for older adults who may otherwise be hospitalized or institutionalized. Although there is evidence that home-based rehabilitation can improve functional outcomes in older adults, research has shown that many older home care clients do not receive the rehabilitation services they need. Despite the home care sector’s increasing importance within Ontario’s health care system, we have a limited understand
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Wei, Tzu-Fa, and 魏子發. "Studies on Spatial Data mining Techniques on Construction Engineering." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/47062379617193689343.

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碩士<br>國立臺灣科技大學<br>營建工程系<br>91<br>Due to the rapid advance of information technology, data saving is not so difficult as before. The amount of data in the world, in our lives,keeps on increasing continuously. Data mining is developed to search for useful information from data. Undoubtedly, there also exists a lot of data in construction engineering. We try to use different data mining techniques to find out useful information from these data. During the process of steel structure design, a huge amount of data is developed at stress re-analysis stage. The main purpose of this study
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Hsu, Puteng, and 許普騰. "The Studies Of Data Mining By Using Neural Network." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/wt4h5u.

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碩士<br>義守大學<br>電機工程學系<br>100<br>In recent years, due to the vigorous developments of database technology and artificial intelligence, data mining has become a useful and important technique in the area of information science. Data mining is a technique which can extract the hidden information from a large data base. It can help the researcher to search useful information that might be ignored and missed. Neural network has been used in the research of data mining since its powerful learning and adaptive capabilities. Through the learning process, the unknown information hidden in the data could
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Ferreira, Rita Gomes Salgado. "Data mining and cluster organisations : the case of PortugalFoods." Master's thesis, 2016. http://hdl.handle.net/10400.14/21838.

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Even though the concept of clusters received a considerable amount of attention, the literature dedicated to cluster organisations is still very scarce. On the other hand, the widely applicability of data mining to several industries, along with the benefits that it might bring to any organisation, have been the subject of various articles throughout the years. This dissertation intends to assess how could cluster organisations benefit from the application of data mining on the type of services they provide. Through the empirical study of a Portuguese cluster organisation – PortugalFoods –
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Juang, Ming-Lun, and 莊明倫. "Data Mining Analysis on RMA Raw Data - A Case Study of G Company." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/563e8z.

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碩士<br>世新大學<br>資訊管理學研究所(含碩專班)<br>103<br>Ever to establish a database of information and accumulation rests single unified storage, can be a query, add, modify, or delete operation, but with the accumulated data, a simple functional operation can not meet today's needs, but want to be able to go from library to explore the potential relationship between data. In the past, the need for large amounts of data to be analyzed by experts and analysts in the field, the other hand, you can now use data mining technology, directly through large amounts of data in a quick extraction or dig out the knowled
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Huang, Chin-tien, and 黃金田. "Data Mining Analysis on RMA Feedback Data- A Case Study on S Company." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/10608341995922209727.

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碩士<br>世新大學<br>資訊管理學研究所(含碩專班)<br>99<br>For a leading electronic component provider, to pursue high quality products is always one of the most serious issues to consider. Without maintaining high quality goods, its market shares could be grabbed and therefore replaced by rivals through reducing prices easily. This research adopt the RFM model provided by Hughes（1994）to analyze RMA data. In order to make the model adaptive to RMA applications, the new factor – prduct unit price has been added to evaluate the importance of these returned materials. Next, in order to rank the importance of these f
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Liu, Wei-Chihh, and 劉威志. "DEVELOP A WEB-BASED DATA ACQUISITION TOOL FOR DATA MINING STUDIES OF DRUG THERAPIES." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/91061939216319144127.

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碩士<br>高雄醫學大學<br>臨床藥學研究所碩士班<br>95<br>This study aimed to develop a web-based data acquisition tool for data mining studies of drug therapies inspired by a 2004 study. To combine two predominant techniques, WWW and data mining are the bases of this study. Computer programming languages such as HTML, PHP, MySQL and JavaScript were used to develop the framework and the interaction between the project managers and this tool. EasyPHP was installed on a workstation PC, and was used to set up the client/server with PHP, MySQL, and Apache servers. A Linux PC with OS Fedora Core 4 was installed and ser
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曾雨慈. "Application of data mining techniques in business tax case selection." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/65925828837004498587.

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Zheng, You-Lun, and 鄭又綸. "Information Mining and Testing Methods for Association Studies with Pedigree Data." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/77407006241468422996.

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碩士<br>輔仁大學<br>應用統計學研究所<br>97<br>Family-based association tests are widely used in gene mapping. Pedigree disequilibrium test (PDT) is one of these tests for analysis of pedigree data. PDT derived by combining transmission disequilibrium and allele difference. In this thesis, we tried to combine the information of odds ratio, similarity difference, transmission disequilibrium and allele difference. We use some existing combination procedures, such as Tippett, Fisher and inverse normal method to combine the four statistics information. Overall, we have considered 48 statistics for investigating
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Yang, Ching-Hsiung, and 楊清雄. "Data Mining Apply in Business Administration Management - A Customer Relationship Case." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/73428181063669585131.

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碩士<br>大葉大學<br>資訊管理學系碩士班<br>92<br>Internet changed the traditional business strategies. How to build up a good relationship with customers and business partners is the determinant between winner and loser. By using "Customer Relationship Management", companies can easily distinguish out valuable customers and no-valuable customers. Companies' goal is to make profits, so how to apply the customer's profit margins and customer's profit to provide for market segmenting and resources locating is vital operation strategies. The purpose of this study is using the association rule techniqu
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Chen, Fu-Jung, and 陳富中. "Data Mining: A Case Study of Telephone Customers'' Call Behavior Analysis." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/46594058995884131146.

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碩士<br>淡江大學<br>資訊工程學系<br>88<br>Data warehousing has become very popular among organizations seeking competitive advantage by getting strategic information fast and easy. For corporation-wide data, high-sounding goals, and grandiose schemes, it turns into projects typified by massive cost overruns and mediocre results. The departmental Decision Support System (DSS) databases are called data mart that has an architectural foundation of a data warehouse. The data mart meets departmental decision making requirements and supports multiple dimensional data analysis situations.In the telecommunication
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Tsai, Jui-Mu, and 蔡瑞木. "Applications of Data Mining- A Case Study on a Department Store." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/69984226646483893862.

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碩士<br>國立臺北大學<br>企業管理學系<br>101<br>Retailing industry has grown to maturity stage. Due to the dense spreading of shopping centers, low distinction on merchandises among the stores, each department store is facing with very harsh competition. Today's customers have more choices and thus less loyalty. To adapt to the irreversible trend and strive to survive, and maximize the profit through the vast variety of customers, department store must recognize his strength in the market segments and find out those valuable 20% customers that contribute to 80% of the corporate revenue. All marketing strateg
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Lin, Fang-Ru, and 林芳如. "Use of Data Mining in Catering Situation Analysis- AKAONI Steak Case." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/69963691110253593078.

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碩士<br>亞洲大學<br>休閒與遊憩管理學系<br>104<br>Information for businesses or organizations, is a very important asset. Problems accumulated data, companies are facing, not a lack of information, but too much information. For the large and growing amount of data if not effectively treated, it will result in the case of so-called "data dumping" is. After statistical or use data mining techniques to be addressed, it can be converted into information or knowledge can be utilized. Available to decision makers to make the right moves. Enterprises are facing a huge market, competitive pressures, customer's consum
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Kao, Shu-Chen, and 高淑珍. "A Data Mining Based Approach To Customer Response Model – A Case Study." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/19798201013038698354.

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博士<br>國立成功大學<br>企業管理學系碩博士班<br>92<br>It has been seen that the modern marketing paradigm has been rapidly shifting and business has used to apply target marketing to capture the right customers in promotion activity. However, the customer response model, regarded as the tool for targeting and prediction, is the most important task in marketing promotion. This research proposes a data mining (DM) based customer response model for insurance industry to help in finding unobvious but valuable promotion knowledge to support making marketing related decisions. First, we visited a leading insurance
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Chen, Chun-Jen, and 陳俊任. "Application of Data Mining to Customer Relationship Management —The Case of Cosmetics." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/16660581231956292070.

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碩士<br>元智大學<br>工業工程研究所<br>89<br>Customer satisfaction is always the most important factor in cosmetics business. To keep and develop a long-term relationship with customers, a cosmetics vendor should not only provide a valuable product but also thoughtful service. Through customer relationship management (CRM), we can provide the right products and services at the right time with the right deliver channel to the right customers. In this research, we propose a method that utilizes an artificial neural network and a statistic cluster method to distinguish customers based on their purchasing behav
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