Data Mining Methods for Knowledge Discovery

by

Write The First Customer Review

Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, machine learning, neural networks, and preprocessing techniques. The book then goes on to thoroughly discuss these methods in the setting of the overall process of knowledge discovery. Numerous illustrative examples and ...

Data Mining Methods for Knowledge Discovery 2012, Springer

ISBN-13: 9781461375579

Softcover Reprint of the Origi edition

Trade paperback

Select
Data Mining Methods for Knowledge Discovery 1998, Springer, Boston, MA

ISBN-13: 9780792382522

1998 edition

Hardcover

Select