1.

Record Nr.

UNINA9910483991803321

Titolo

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

Pubbl/distr/stampa

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

ISBN

3-319-13186-9

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (XXI, 833 p. 348 illus.)

Collana

Lecture Notes in Artificial Intelligence ; ; 8643

Disciplina

006.312

Soggetti

Data mining

Artificial intelligence

Health 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)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

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.

Sommario/riassunto

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.