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Trends And Applications In Knowledge Discovery And Data Mining Pakdd 2014 International Workshops Danth Bdm Mobisocial Bigec Cloudsd Msmvmbi Sda Dmdahealth Alsip Socnet Dmbih Bigpmatainan Taiwan May 1316 2014 Revised Selected Papers 1st Edition Wenchih Peng

  • SKU: BELL-4973568
Trends And Applications In Knowledge Discovery And Data Mining Pakdd 2014 International Workshops Danth Bdm Mobisocial Bigec Cloudsd Msmvmbi Sda Dmdahealth Alsip Socnet Dmbih Bigpmatainan Taiwan May 1316 2014 Revised Selected Papers 1st Edition Wenchih Peng
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Trends And Applications In Knowledge Discovery And Data Mining Pakdd 2014 International Workshops Danth Bdm Mobisocial Bigec Cloudsd Msmvmbi Sda Dmdahealth Alsip Socnet Dmbih Bigpmatainan Taiwan May 1316 2014 Revised Selected Papers 1st Edition Wenchih Peng instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 81.93 MB
Pages: 833
Author: Wen-Chih Peng, Haixun Wang, James Bailey, Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L.P. Chen (eds.)
ISBN: 9783319131856, 3319131850
Language: English
Year: 2014
Edition: 1

Product desciption

Trends And Applications In Knowledge Discovery And Data Mining Pakdd 2014 International Workshops Danth Bdm Mobisocial Bigec Cloudsd Msmvmbi Sda Dmdahealth Alsip Socnet Dmbih Bigpmatainan Taiwan May 1316 2014 Revised Selected Papers 1st Edition Wenchih Peng by Wen-chih Peng, Haixun Wang, James Bailey, Vincent S. Tseng, Tu Bao Ho, Zhi-hua Zhou, Arbee L.p. Chen (eds.) 9783319131856, 3319131850 instant download after payment.

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.

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