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Advances in Knowledge Discovery and Data Mining

18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Vincent S. Tseng

    1. National Cheng Kung University, Tainan, R.O.C.

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  2. Tu Bao Ho

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

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  3. Zhi-Hua Zhou

    1. Nanjing University, China

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  4. Arbee L. P. Chen

    1. National Chengchi University, Taipei, R.O.C.

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  5. Hung-Yu Kao

    1. National Cheng Kung University, Tainan, R.O.C.

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8443)

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 (50 papers)

  1. Front Matter

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  2. Pattern Mining

    1. MalSpot: Multi2 Malicious Network Behavior Patterns Analysis

      • Hing-Hao Mao, Chung-Jung Wu, Evangelos E. Papalexakis, Christos Faloutsos, Kuo-Chen Lee, Tien-Cheu Kao
      Pages 1-14

    2. Extracting Diverse Patterns with Unbalanced Concept Hierarchy

      • M. Kumara Swamy, P. Krishna Reddy, Somya Srivastava
      Pages 15-27

    3. Efficiently Depth-First Minimal Pattern Mining

      • Arnaud Soulet, François Rioult
      Pages 28-39

    4. Fast Vertical Mining of Sequential Patterns Using Co-occurrence Information

      • Philippe Fournier-Viger, Antonio Gomariz, Manuel Campos, Rincy Thomas
      Pages 40-52

  3. Social Network and Social Media

    1. Balancing the Analysis of Frequent Patterns

      • Arnaud Giacometti, Dominique H. Li, Arnaud Soulet
      Pages 53-64

    2. Balanced Seed Selection for Budgeted Influence Maximization in Social Networks

      • Shuo Han, Fuzhen Zhuang, Qing He, Zhongzhi Shi
      Pages 65-77

    3. Persistent Community Detection in Dynamic Social Networks

      • Siyuan Liu, Shuhui Wang, Ramayya Krishnan
      Pages 78-89

    4. Detecting and Analyzing Influenza Epidemics with Social Media in China

      • Fang Zhang, Jun Luo, Chao Li, Xin Wang, Zhongying Zhao
      Pages 90-101

    5. Analyzing Location Predictability on Location-Based Social Networks

      • Defu Lian, Yin Zhu, Xing Xie, Enhong Chen
      Pages 102-113

    6. ReadBehavior: Reading Probabilities Modeling of Tweets via the Users’ Retweeting Behaviors

      • Jianguang Du, Dandan Song, Lejian Liao, Xin Li, Li Liu, Guoqiang Li et al.
      Pages 114-125

    7. Inferring Strange Behavior from Connectivity Pattern in Social Networks

      • Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang
      Pages 126-138

    8. Inferring Attitude in Online Social Networks Based on Quadratic Correlation

      • Cong Wang, Andrei A. Bulatov
      Pages 139-150

    9. Hash-Based Stream LDA: Topic Modeling in Social Streams

      • Anton Slutsky, Xiaohua Hu, Yuan An
      Pages 151-162

    10. Two Sides of a Coin: Separating Personal Communication and Public Dissemination Accounts in Twitter

      • Peifeng Yin, Nilam Ram, Wang-Chien Lee, Conrad Tucker, Shashank Khandelwal, Marcel Salathé
      Pages 163-175

    11. Latent Features Based Prediction on New Users’ Tastes

      • Ming-Chu Chen, Hung-Yu Kao
      Pages 176-187

  4. Classification

    1. Supervised Nonlinear Factorizations Excel In Semi-supervised Regression

      • Josif Grabocka, Erind Bedalli, Lars Schmidt-Thieme
      Pages 188-199

    2. Learning from Crowds under Experts’ Supervision

      • Qingyang Hu, Qinming He, Hao Huang, Kevin Chiew, Zhenguang Liu
      Pages 200-211

    3. A Robust Classifier for Imbalanced Datasets

      • Sori Kang, Kotagiri Ramamohanarao
      Pages 212-223

    4. Signed-Error Conformal Regression

      • Henrik Linusson, Ulf Johansson, Tuve Löfström
      Pages 224-236
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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

The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.

Editors and Affiliations

  • National Cheng Kung University, Tainan, R.O.C.

    Vincent S. Tseng, Hung-Yu Kao

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

    Tu Bao Ho

  • Nanjing University, China

    Zhi-Hua Zhou

  • National Chengchi University, Taipei, R.O.C.

    Arbee L. P. Chen

Bibliographic Information

  • Book Title: Advances in Knowledge Discovery and Data Mining

  • Book Subtitle: 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I

  • Editors: Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-06608-0

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Softcover ISBN: 978-3-319-06607-3Published: 23 May 2014

  • eBook ISBN: 978-3-319-06608-0Published: 08 May 2014

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXX, 622

  • Number of Illustrations: 206 b/w illustrations

  • Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Information Storage and Retrieval

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