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Advances in Knowledge Discovery and Data Mining, Part I

14th Pacific-Asia Conference, PAKDD 2010, Hyderabat, India, June 21-24, 2010, Proceedings

  • Conference proceedings
  • © 2010

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Editors:
  1. Mohammed J. Zaki

    1. Computer Science Department, Rensselaer Polytechnic Institute, USA

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  2. Jeffrey Xu Yu

    1. The Chinese University of Hong Kong, China

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  3. B. Ravindran

    1. IIT Madras, Chennai, India

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  4. Vikram Pudi

    1. IIIT, Hyderabad, India

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6118)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PAKDD 2010.

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Table of contents (52 papers)

  1. Front Matter

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  3. Session 1A. Clustering I

    1. A Set Correlation Model for Partitional Clustering

      • Nguyen Xuan Vinh, Michael E. Houle
      Pages 4-15

    2. iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment

      • Liang Wang, Uyen T. V. Nguyen, James C. Bezdek, Christopher A. Leckie, Kotagiri Ramamohanarao
      Pages 16-27

    3. A Robust Seedless Algorithm for Correlation Clustering

      • Mohammad S. Aziz, Chandan K. Reddy
      Pages 28-37

    4. Integrative Parameter-Free Clustering of Data with Mixed Type Attributes

      • Christian Böhm, Sebastian Goebl, Annahita Oswald, Claudia Plant, Michael Plavinski, Bianca Wackersreuther
      Pages 38-47

    5. Data Transformation for Sum Squared Residue

      • Hyuk Cho
      Pages 48-55

  4. Session 1B. Social Networks

    1. A Better Strategy of Discovering Link-Pattern Based Communities by Classical Clustering Methods

      • Chen-Yi Lin, Jia-Ling Koh, Arbee L. P. Chen
      Pages 56-67

    2. Mining Antagonistic Communities from Social Networks

      • Kuan Zhang, David Lo, Ee-Peng Lim
      Pages 68-80

    3. As Time Goes by: Discovering Eras in Evolving Social Networks

      • Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi
      Pages 81-90

    4. Online Sampling of High Centrality Individuals in Social Networks

      • Arun S. Maiya, Tanya Y. Berger-Wolf
      Pages 91-98

    5. Estimate on Expectation for Influence Maximization in Social Networks

      • Yao Zhang, Qing Gu, Jun Zheng, Daoxu Chen
      Pages 99-106

  5. Session 1C. Classification I

    1. A Novel Scalable Multi-class ROC for Effective Visualization and Computation

      • Md. Rafiul Hassan, Kotagiri Ramamohanarao, Chandan Karmakar, M. Maruf Hossain, James Bailey
      Pages 107-120

    2. Efficiently Finding the Best Parameter for the Emerging Pattern-Based Classifier PCL

      • Thanh-Son Ngo, Mengling Feng, Guimei Liu, Limsoon Wong
      Pages 121-133

    3. Rough Margin Based Core Vector Machine

      • Gang Niu, Bo Dai, Lin Shang, Yangsheng Ji
      Pages 134-141

    4. BoostML: An Adaptive Metric Learning for Nearest Neighbor Classification

      • Nayyar Abbas Zaidi, David McG. Squire, David Suter
      Pages 142-149

    5. A New Emerging Pattern Mining Algorithm and Its Application in Supervised Classification

      • Milton García-Borroto, José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa
      Pages 150-157

  6. Session 2A. Privacy

    1. Hiding Emerging Patterns with Local Recoding Generalization

      • Michael W. K. Cheng, Byron Koon Kau Choi, William Kwok Wai Cheung
      Pages 158-170
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Other volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

Keywords

Editors and Affiliations

  • Computer Science Department, Rensselaer Polytechnic Institute, USA

    Mohammed J. Zaki

  • The Chinese University of Hong Kong, China

    Jeffrey Xu Yu

  • IIT Madras, Chennai, India

    B. Ravindran

  • IIIT, Hyderabad, India

    Vikram Pudi

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