Advances in Knowledge Discovery and Data Mining

14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part I

  • Mohammed J. Zaki
  • Jeffrey Xu Yu
  • B. Ravindran
  • Vikram Pudi
Conference proceedings PAKDD 2010

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

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6118)

Table of contents

  1. Front Matter
    PDF

  2. Keynote Speeches

    1. Empower People with Knowledge: The Next Frontier for Web Search
      Wei-Ying Ma
      Pages 1-1
    2. Discovery of Patterns in Global Earth Science Data Using Data Mining
      Vipin Kumar
      Pages 2-2
    3. Game Theoretic Approaches to Knowledge Discovery and Data Mining
      Y. Narahari
      Pages 3-3

  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

Other volumes

  1. Advances in Knowledge Discovery and Data Mining
    14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part I
  2. Advances in Knowledge Discovery and Data Mining
    14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II

About these proceedings

Keywords

Clustering bioinformatics classification data mining distributed data mining fractal representation graph analysis knowledge discovery

Editors and affiliations

  • Mohammed J. Zaki
    • 1
  • Jeffrey Xu Yu
    • 2
  • B. Ravindran
    • 3
  • Vikram Pudi
    • 4
  1. 1.Computer Science DepartmentRensselaer Polytechnic InstituteUSA
  2. 2.The Chinese University of Hong KongChina
  3. 3.IIT MadrasChennaiIndia
  4. 4.IIITHyderabadIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-13657-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-13656-6
  • Online ISBN 978-3-642-13657-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book