Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability. This book introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining and includes various real-world case studies with detailed results.Oded Maimon, Lior Rokach. Passerini, A., Pontil, M., Frasconi, P., (2004), New results on error correcting output codes of kernel machines. ... Volume 2258 of Lecture Notes in Artificial Intelligence., Springer-Verlag 96a103. Tapia, E., GonzAilezanbsp;...
|Title||:||Soft Computing for Knowledge Discovery and Data Mining|
|Author||:||Oded Maimon, Lior Rokach|
|Publisher||:||Springer Science & Business Media - 2007-10-25|