Articoli correlati a Data Mining and Uncertain Reasoning: An Integrated...

Data Mining and Uncertain Reasoning: An Integrated Approach - Rilegato

Chen, Zhengxin

 
9780471388784: Data Mining and Uncertain Reasoning: An Integrated Approach
Rilegato
ISBN 10: 0471388785 ISBN 13: 9780471388784
Casa editrice: Wiley-Interscience, 2001

Sinossi

An expert guide for applying data mining with uncertain reasoning to a wide range of uses

This volume presents a holistic view of data mining by integrating this diverse and exciting field with uncertain reasoning. It treats a wide range of issues and examines the state of the art in both fields while summarizing vital concepts that can normally only be found in various separate resources.

The author concentrates on practical aspects of data mining-such as infrastructure and overall processes-but also discusses some selected algorithms and performance-related issues. Several important topics are addressed specifically, such as bridging the fields of machine learning and data mining and the discovery of influential association rules. In addition, the author discusses data warehousing as an enabling technique for data mining. Case studies are included throughout to illustrate important concepts.

Data Mining and Uncertain Reasoning is a practical reference for practitioners in various interrelated fields. Each subject is treated with both basic introductory and advanced technical descriptions, making the book suitable for students and practitioners at various levels of experience.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull'autore

ZHENGXIN CHEN is Professor in the Department of Computer Science at the University of Nebraska.

Dalla quarta di copertina

An expert guide for applying data mining with uncertain reasoning to a wide range of uses

This volume presents a holistic view of data mining by integrating this diverse and exciting field with uncertain reasoning. It treats a wide range of issues and examines the state of the art in both fields while summarizing vital concepts that can normally only be found in various separate resources.

The author concentrates on practical aspects of data mining-such as infrastructure and overall processes-but also discusses some selected algorithms and performance-related issues. Several important topics are addressed specifically, such as bridging the fields of machine learning and data mining and the discovery of influential association rules. In addition, the author discusses data warehousing as an enabling technique for data mining. Case studies are included throughout to illustrate important concepts.

Data Mining and Uncertain Reasoning is a practical reference for practitioners in various interrelated fields. Each subject is treated with both basic introductory and advanced technical descriptions, making the book suitable for students and practitioners at various levels of experience.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Wiley-Interscience
Data di pubblicazione
2001
Lingua
Inglese
ISBN 10 
0471388785
ISBN 13 
9780471388784
Rilegatura
Copertina rigida
Numero di pagine
370
Contatto del produttore
non disponibile
Persona responsabile
non disponibile