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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

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Wen-Chih Peng

    1. National Chiao Tung University, Hsinchu, Taiwan

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  2. Haixun Wang

    1. Google Research, Mountain View, USA

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  3. James Bailey

    1. University of Melbourne, Melbourne, Australia

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  4. Vincent S. Tseng

    1. National Cheng Kung University, Tainan, Taiwan

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  5. Tu Bao Ho

    1. Japan Advanced Institute of Science and Technology, Nomi City, Japan

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  6. Zhi-Hua Zhou

    1. Nanjing University, Nanjing, China

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  7. Arbee L.P. Chen

    1. National Chengchi University, Taipei, Taiwan

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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)

Included in the following conference series:

Conference proceedings info: PAKDD 2014.

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Table of contents (73 papers)

  1. Front Matter

    Pages I-XXI
    Download chapter PDF

  2. Data Analytics for Targeted Healthcare

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Conversation Intention Perception Based on Knowledge Base

      • Yi-Zheng Chen, Hua-Kang Li, Yi Liu
      Pages 3-14

    3. An Empirical Algorithm for Bias Correction Based on GC Estimation for Single Cell Sequencing

      • Bo Xu, Tengpeng Li, Yi Luo, Ruotao Xu, Hongmin Cai
      Pages 15-21

    4. Joint Tree of Combinatorial Maps

      • Tao Wang, Congyan Lang, Songhe Feng
      Pages 22-28

    5. An Optimization Method of Fusing Multiple Decisions in Object Detection

      • Zhu Teng, Baopeng Zhang
      Pages 29-35

  3. Data Mining and Decision Analytics for Public Health and Wellness

    1. Front Matter

      Pages 37-37
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    2. Mining Typical Order Sequences from EHR for Building Clinical Pathways

      • Shoji Hirano, Shusaku Tsumoto
      Pages 39-49

    3. Aspect-Based Sentiment Analysis of Amazon Reviews for Fitness Tracking Devices

      • Alaa Shafaee, Hassan Issa, Stefan Agne, Stephan Baumann, Andreas Dengel
      Pages 50-61

  4. Biologically Inspired Techniques for Data Mining

    1. Front Matter

      Pages 63-63
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    2. An Efficient Drug-Target Interaction Mining Algorithm in Heterogeneous Biological Networks

      • Congcong Li, Jing Sun, Yun Xiong, Guangyong Zheng
      Pages 65-76

    3. Comparison of Hemagglutinin and Neruaminidase of Influenza A Virus Subtype H1N1, H5N1, H5N2, and H7N9 Using Apriori Algorithm

      • Dae Young Kim, Hye-Jun Kim, Junhyeok Bae, Taeseon Yoon
      Pages 77-86

    4. Privacy Preserving Association Rule Mining Using Binary Encoded NSGA-II

      • Peng Cheng, Jeng-Shyang Pan, Chun-Wei Lin
      Pages 87-99

    5. Detecting the Data Group Most Prone to a Specific Disguise Value

      • Wen-Yang Lin, Wen-Yu Feng
      Pages 100-111

    6. rRNA of Alphaproteobacteria Rickettsiales and mtDNA Pattern Analyzing with Apriori & SVM

      • Seung Jae Lim, Shin Hyo Bang, Dae Seop Kim, Taeseon Yoon
      Pages 112-122

  5. Mobile Data Management, Mining, and Computing on Social Networks

    1. Front Matter

      Pages 123-123
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    2. Team Formation with the Communication Load Constraint in Social Networks

      • Yui-Chieh Teng, Jun-Zhe Wang, Jiun-Long Huang
      Pages 125-136

    3. Information Diffusion Pattern Mining over Online Social Media

      • Eric Hsueh-Chan Lu, Hui-Ju Hung
      Pages 137-148

    4. Mining Frequent Progressive Usage Patterns Across Multiple Mobile Broadcasting Channels

      • Bijay Prasad Jaysawal, Jen-Wei Huang
      Pages 149-155

    5. Efficient Gossiping Dissemination in Mobile Peer-to-Peer Environment Based on Neighborhood Detection

      • Yu-Jen Lin, Bo-Heng Chen, Kun-Ta Chuang, Chao-Chun Chen
      Pages 156-167
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Other volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

  3. Trends and Applications in Knowledge Discovery and Data Mining

Keywords

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.

Editors and Affiliations

  • National Chiao Tung University, Hsinchu, Taiwan

    Wen-Chih Peng

  • Google Research, Mountain View, USA

    Haixun Wang

  • University of Melbourne, Melbourne, Australia

    James Bailey

  • National Cheng Kung University, Tainan, Taiwan

    Vincent S. Tseng

  • Japan Advanced Institute of Science and Technology, Nomi City, Japan

    Tu Bao Ho

  • Nanjing University, Nanjing, China

    Zhi-Hua Zhou

  • National Chengchi University, Taipei, Taiwan

    Arbee L.P. Chen

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