Researchers from various disciplines such as pattern recognition, statistics, and machine learning have explored the use of ensemble methodology since the late seventies. Thus, they are faced with a w
Recommender systems support the user with the decision-making and buying process. The explosive growth of e-commerce environments has made the issue of information overload increasingly serious. Reco
Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover
Rokach (Ben-Gurion U.) and Maimon (Tel-Aviv U.) believe decision trees, already popular due to their success and simplicity, do a great job of predicting and explaining the relationship between some m
This book introduces soft computing methods that extend the envelope of problems that data mining can efficiently solve. It presents practical soft-computing approaches in data mining, including vari
Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge fro
This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but al
