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.
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.
"Intelligent Data Mining - Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in...
The book presents high quality papers presented at the International Conference on Computational Intelligence in Data Mining (ICCIDM 2016) organized by School of Computer Engineering, Kalinga...
Business is the act of doing something productive to serve someone’sneeds, and thus earn a living, and make the world a better place. Businessactivities are recorded on paper or using electronic...
Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were...
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