Data Mining Methods for Knowledge Discovery

Pedrycz, Witold, Swiniarski, Roman W., Cios, Krzysztof J.

ISBN 10: 0792382528 / ISBN 13: 9780792382522

Edité par Springer, 1998

A propos de cet article

Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. N° de réf. du vendeur GRP96963320

Détails bibliographiques

Titre : Data Mining Methods for Knowledge Discovery

Éditeur : Springer

Date d'édition : 1998

Reliure : Couverture rigide

Etat : Good

Edition : 1st.

A propos de ce titre

Synopsis :

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 experimental findings are also included. Each chapter comes with an extensive bibliography.
Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate students, as well as a broad audience of professionals in computer and information sciences, medical informatics, and business information systems.