TY  - BOOK
AU  - Peng,Wen-Chih
AU  - Wang,Haixun
AU  - Bailey,James
AU  - Tseng,Vincent S.
AU  - Ho,Tu Bao
AU  - Zhou,Zhi-Hua
AU  - Chen,Arbee L.P.
ED  - SpringerLink (Online service)
TI  - 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 
T2  - Lecture Notes in Computer Science,
SN  - 9783319131863
AV  - QA76.9.D343 
U1  - 006.312 23
PY  - 2014///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer science
KW  - Health informatics
KW  - Data mining
KW  - Information storage and retrieval
KW  - Artificial intelligence
KW  - Computer Science
KW  - Data Mining and Knowledge Discovery
KW  - Artificial Intelligence (incl. Robotics)
KW  - Health Informatics
KW  - Information Storage and Retrieval
KW  - Information Systems Applications (incl. Internet)
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-319-13186-3
ER  -