Intelligent Data Mining Assistance: A Case-Based Reasoning and Ontology Approach

Book Intelligent Data Mining Assistance: A Case-Based Reasoning and Ontology Approach

Book details

- By:
- Language: English
- Format: PDF - Djvu
- Pages:112
- Publisher: VDM Verlag Dr. Müller (March 1, 2009)
- Bestsellers rank: 5
- Category: New, Used & Rental Textbooks
*An electronic version of a printed book that can be read on a computer or handheld device designed specifically for this purpose.
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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.

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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