9781493905386: Proactive Data Mining with Decision Trees
Brossura
ISBN 10: 1493905384 ISBN 13: 9781493905386
Casa editrice: Springer, 2014

Sinossi

This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but also utilizes specific problem/domain knowledge to suggest specific actions to achieve optimal changes in the value of the target attribute. In particular, the authors suggest a specific implementation of the domain-driven proactive approach for classification trees. The book centers on the core idea of moving observations from one branch of the tree to another. It introduces a novel splitting criterion for decision trees, termed maximal-utility, which maximizes the potential for enhancing profitability in the output tree. Two real-world case studies, one of a leading wireless operator and the other of a major security company, are also included and demonstrate how applying the proactive approach to classification tasks can solve business problems. Proactive Data Mining with Decision Trees is intended for researchers, practitioners and advanced-level students.

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

Recensione

From the book reviews:

“This concise (88 page) book introduces readers to the basic concepts of proactive data mining with decision trees. ... The book is very well written, easy to understand, and easy to follow. Each chapter is well organized. ... The book is especially useful for practitioners who would like to get started in using data mining tools for business applications.” (Xiannong Meng, Computing Reviews, October, 2014)

Contenuti

Introduction.- Proactive Data Mining: A General Approach.- Proactive Data Mining Using Decision Trees.- Proactive Data Mining in the Real World: Case Studies.- Sensitivity Analysis of Proactive Data Mining.- Conclusions.

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

Editore
Springer
Data di pubblicazione
2014
Lingua
Inglese
ISBN 10 
1493905384
ISBN 13 
9781493905386
Rilegatura
Copertina flessibile
Numero di pagine
100
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Germania

Altre edizioni note dello stesso titolo

9781493905409: Proactive Data Mining with Decision Trees

Edizione in evidenza

ISBN 10:  1493905406 ISBN 13:  9781493905409
Casa editrice: Springer, 2014
Brossura