Thèmes principaux
Publications
Services
Auteurs
Éditions
Shop

Foundations and Novel Approaches in Data Mining

Contenu

Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor” syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the practical issues of data-mining for realworld problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research. A set of well respected data mining theoreticians were invited to present their views on the fundamental science of data mining. We have also called on researchers with practical data mining experiences to present new important data-mining topics.

Informations bibliographiques

novembre 2010, 378 Pages, Studies in Computational Intelligence, Anglais
Springer Nature EN
978-3-642-06650-4

Sommaire

Mots-clés

Autres titres de la collection: Studies in Computational Intelligence

Afficher tout

Autres titres sur ce thème