Trends and Applications in Knowledge Discovery and Data Mining : PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA,Tainan, Taiwan, May 13-16, 2014. Revised Selected Papers / edited by Wen-Chih Peng, Haixun Wang, James Bailey, Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L.P. Chen.

Format:

Book

Contributor:

Peng, Wen-Chih, 1973- editor.

Wang, Haixun, editor.

Bailey, James, editor.

Tseng, Vincent S., editor.

Ho, Tu Bao, editor.

Zhou, Zhi-Hua (Computer scientist), editor.

Chen, Arbee L. P., editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 8643.

Lecture Notes in Artificial Intelligence ; 8643

Language:

English

Subjects (All):

Data mining.

Artificial intelligence.

Medical informatics.

Information storage and retrieval.

Application software.

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Health Informatics.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Local Subjects:

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Health Informatics.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Physical Description:

1 online resource (XXI, 833 pages) : 348 illustrations.

Edition:

First edition 2014.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2014.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings at PAKDD Workshops 2014, held in conjunction with the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held in Tainan, Taiwan, in May 2014. The 73 revised papers presented were carefully reviewed and selected from 179 submissions. The workshops affiliated with PAKDD 2014 include: Data Analytics for Targeted Healthcare, DANTH; Data Mining and Decision Analytics for Public Health and Wellness, DMDA-Health; Biologically Inspired Data Mining Techniques, BDM; Mobile Data Management, Mining, and Computing on Social Networks, MobiSocial; Big Data Science and Engineering on E-Commerce, BigEC; Cloud Service Discovery, CloudSD; Mobile Sensing, Mining and Visualization for Human Behavior Inferences, MSMV-HBI; Scalable Dats Analytics: Theory and Algorithms, SDA; Algorithms for Large-Scale Information Processing in Knowledge Discovery, ALSIP; Data Mining in Social Networks, SocNet; Data Mining in Biomedical Informatics and Healthcare, DMBIH; and Pattern Mining and Application of Big Data, BigPMA.

Contents:

Data Analytics for Targeted Healthcare, DANTH

Data Mining and Decision Analytics for Public Health and Wellness, DMDA-Health

Biologically Inspired Data Mining Techniques, BDM

Mobile Data Management, Mining, and Computing on Social Networks, MobiSocial

Big Data Science and Engineering on E-Commerce, BigEC

Cloud Service Discovery, CloudSD

Mobile Sensing, Mining and Visualization for Human Behavior Inferences, MSMV-HBI

Scalable Dats Analytics: Theory and Algorithms, SDA

Algorithms for Large-Scale Information Processing in Knowledge Discovery, ALSIP

Data Mining in Social Networks, SocNet

Data Mining in Biomedical Informatics and Healthcare, DMBIH.- Pattern Mining and Application of Big Data, BigPMA.

Other Format:

Printed edition:

ISBN:

978-3-319-13186-3

9783319131863

Access Restriction:

Restricted for use by site license.