Foundations and Advances in Data Mining

Chu, Wesley|Lin, Tsau Young

ISBN 10: 3642425380 / ISBN 13: 9783642425387

Verlag: Springer Berlin Heidelberg, 2014

Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Brings together well respected data mining theoreticians and researchers with practical data mining experiencesPresents a theoretical foundationPresents&nbspimportant new directions for data-mining researchWith the growing use o. Bestandsnummer des Verkäufers 5060331

Inhaltsangabe:

With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.

Von der hinteren Coverseite:

With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.

Bibliografische Details

Titel: Foundations and Advances in Data Mining
Verlag: Springer Berlin Heidelberg
Erscheinungsdatum: 2014
Einband: Softcover
Zustand: New