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Trends and Applications in Knowledge Discovery and Data Mining de Jiuyong Li

Trends and Applications in Knowledge Discovery and Data Mining

Editat de Jiuyong Li, Longbing Cao, Can Wang, Kay Chen Tan, Bo Liu, Jian Pei, Vincent S. Tseng
en Limba Engleză Paperback – 5 sep 2013
This book constitutes the refereed proceedings at PAKDD Workshops 2013, affiliated with the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held in Gold Coast, Australia in April 2013.
The 47 revised full papers presented were carefully reviewed and selected from 92 submissions. The workshops affiliated with PAKDD 2013 include: Data Mining Applications in Industry and Government (DMApps), Data Analytics for Targeted Healthcare (DANTH), Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE), Biologically Inspired Techniques for Data Mining (BDM), Constraint Discovery and Application (CDA), Cloud Service Discovery (CloudSD).
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Specificații

ISBN-13: 9783642403187
ISBN-10: 3642403182
Pagini: 576
Ilustrații: XVIII, 556 p. 152 illus.
Dimensiuni: 155 x 235 x 31 mm
Greutate: 0.86 kg
Ediția:2013
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Data Mining Applications in Industry and Government.- Data Analytics for Targeted Healthcare.- Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models.- Biological Inspired Techniques for Data Mining.- Constraint Discovery and Cloud Service Discovery.

Textul de pe ultima copertă

This book constitutes the refereed proceedings at PAKDD Workshops 2013, affiliated with the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held in Gold Coast, Australia in April 2013.
The 47 revised full papers presented were carefully reviewed and selected from 92 submissions. The workshops affiliated with PAKDD 2013 include: Data Mining Applications in Industry and Government (DMApps), Data Analytics for Targeted Healthcare (DANTH), Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE), Biologically Inspired Techniques for Data Mining (BDM), Constraint Discovery and Application (CDA), Cloud Service Discovery (CloudSD).

Caracteristici

High quality selected papers Unique visibility State of the art research