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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…mehr

Produktbeschreibung
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.
Autorenporträt
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.