Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8643)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining
Conference proceedings info: PAKDD 2014.
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Table of contents (73 papers)
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Front Matter
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Data Analytics for Targeted Healthcare
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Front Matter
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Data Mining and Decision Analytics for Public Health and Wellness
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Front Matter
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Biologically Inspired Techniques for Data Mining
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Front Matter
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Mobile Data Management, Mining, and Computing on Social Networks
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Front Matter
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Other Volumes
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Trends and Applications in Knowledge Discovery and Data Mining
About this book
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.
Keywords
- Association Rule Mining
- Augmented Reality
- Big Data
- Bioinformatics
- Classification
- Cloud Computing
- Clustering
- Context-aware
- Dynamic Networks
- Genetic Algorithms
- Health Informatics
- Image Analysis
- Information Retrieval
- Machine Learning
- Parallel Computation
- Recommendation System
- Semantic Web Technologies
- Semi-supervised Learning
- Social Network
- Web Intelligence
Editors and Affiliations
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National Chiao Tung University, Hsinchu, Taiwan
Wen-Chih Peng
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Google Research, Mountain View, USA
Haixun Wang
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University of Melbourne, Melbourne, Australia
James Bailey
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National Cheng Kung University, Tainan, Taiwan
Vincent S. Tseng
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Japan Advanced Institute of Science and Technology, Nomi City, Japan
Tu Bao Ho
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Nanjing University, Nanjing, China
Zhi-Hua Zhou
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National Chengchi University, Taipei, Taiwan
Arbee L.P. Chen
Bibliographic Information
Book Title: Trends and Applications in Knowledge Discovery and Data Mining
Book Subtitle: 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
Editors: Wen-Chih Peng, Haixun Wang, James Bailey, Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L.P. Chen
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-13186-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-13185-6Published: 10 December 2014
eBook ISBN: 978-3-319-13186-3Published: 26 November 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXI, 833
Number of Illustrations: 348 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Health Informatics, Information Storage and Retrieval, Information Systems Applications (incl. Internet)