Lavoisier S.A.S.
14 rue de Provigny
94236 Cachan cedex
FRANCE

Heures d'ouverture 08h30-12h30/13h30-17h30
Tél.: +33 (0)1 47 40 67 00
Fax: +33 (0)1 47 40 67 02


Url canonique : www.lavoisier.fr/livre/autre/trends-and-applications-in-knowledge-discovery-and-data-mining/peng/descriptif_3145606
Url courte ou permalien : www.lavoisier.fr/livre/notice.asp?ouvrage=3145606

Trends and Applications in Knowledge Discovery and Data Mining, 2014 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 Lecture Notes in Artificial Intelligence Series

Langue : Anglais

Coordonnateurs : Peng Wen-Chih, Wang Haixun, Bailey James, Tseng Vincent S., Ho Tu Bao, Zhou Zhi-Hua, Chen Arbee L.P.

Couverture de l’ouvrage Trends and Applications in Knowledge Discovery and Data Mining

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.

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.
Includes supplementary material: sn.pub/extras