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Nowadays, decision makers in competitive and diverse business sectors must make informed decisions about strategic problems. Such problems are often complex enough to warrant the use of sophisticated analytical methods for their resolution (i.e. forecasting, classification, etc.). Having borrowed from the myriad of techniques and models available from the areas of machine learning and statistics, data mining (DM) has become a very specialized field. Consequently, the effective application of DM is littered with many difficult and technical decisions (i.e. data cleansing, feature transformations, algorithm and parameter selection, model evaluation). Most data mining products provide a large number of models and tools, but few provide "intelligent" assistance. Moreover, research seems to be based on utterly specialized DM techniques, rather than focusing on strategic, methodological, and even epistemological aspects of DM. As a result, the following work attempts to verify if the use of a case-based reasoning system and other AI techniques will provide an adequate environment for the reuse of data mining knowledge with the intention of better supporting the decision making process.
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is a Systems Analyst specializing in the development of Business Intelligence, Data Warehousing and Data Mining applications at the University of Quebec at Trois-Rivieres, Canada. Michel Charest holds an M.Sc. degree in Applied Mathematics and Computer Science and a Bachelor's degree in Computer Engineering.
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- PublisherVDM Verlag Dr. Müller
- Publication date2009
- ISBN 10 3639119592
- ISBN 13 9783639119596
- BindingPaperback
- Number of pages112
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Intelligent Data Mining Assistance: A Case-Based Reasoning and Ontology Approach
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nowadays, decision makers in competitive and diversebusiness sectors must make informed decisions aboutstrategic problems. Such problems are often complexenough to warrant the use of sophisticated analyticalmethods for their resolution (i.e. forecasting,classification, etc.). Having borrowed from themyriad of techniques and models available from theareas of machine learning and statistics, data mining(DM) has become a very specialized field.Consequently, the effective application of DM islittered with many difficult and technical decisions(i.e. data cleansing, feature transformations,algorithm and parameter selection, model evaluation).Most data mining products provide a large number ofmodels and tools, but few provide 'intelligent'assistance. Moreover, research seems to be based onutterly specialized DM techniques, rather thanfocusing on strategic, methodological, and evenepistemological aspects of DM. As a result, thefollowing work attempts to verify if the use of acase-based reasoning system and other AI techniqueswill provide an adequate environment for the reuse ofdata mining knowledge with the intention of bettersupporting the decision making process. 112 pp. Englisch. Seller Inventory # 9783639119596
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Nowadays, decision makers in competitive and diversebusiness sectors must make informed decisions aboutstrategic problems. Such problems are often complexenough to warrant the use of sophisticated analyticalmethods for their resolution (i.e. forecasting,classification, etc.). Having borrowed from themyriad of techniques and models available from theareas of machine learning and statistics, data mining(DM) has become a very specialized field.Consequently, the effective application of DM islittered with many difficult and technical decisions(i.e. data cleansing, feature transformations,algorithm and parameter selection, model evaluation).Most data mining products provide a large number ofmodels and tools, but few provide 'intelligent'assistance. Moreover, research seems to be based onutterly specialized DM techniques, rather thanfocusing on strategic, methodological, and evenepistemological aspects of DM. As a result, thefollowing work attempts to verify if the use of acase-based reasoning system and other AI techniqueswill provide an adequate environment for the reuse ofdata mining knowledge with the intention of bettersupporting the decision making process. Seller Inventory # 9783639119596
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Book Description Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Charest Michelis a Systems Analyst specializing in the development of BusinessnIntelligence, Data Warehousing and Data Mining applications atnthe University of Quebec at Trois-Rivieres, Canada. MichelnCharest holds an M.Sc. degree in. Seller Inventory # 4959199
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