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  • Conference proceedings
  • © 2010

Advances in Knowledge Discovery and Data Mining, Part I

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

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)

Conference series link(s): PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining

Conference proceedings info: PAKDD 2010.

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Table of contents (52 papers)

  1. Session 2A. Privacy

    2. Satisfying Privacy Requirements: One Step before Anonymization

      • Xiaoxun Sun, Hua Wang, Jiuyong Li
      Pages 181-188

    4. Privacy-Preserving Network Aggregation

      • Troy Raeder, Marina Blanton, Nitesh V. Chawla, Keith Frikken
      Pages 198-207

  2. Session 2B. Spatio-Temporal Mining

    1. Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets

      • Vadeerat Rinsurongkawong, Christoph F. Eick
      Pages 216-227

    2. Mining Trajectory Corridors Using Fréchet Distance and Meshing Grids

      • Haohan Zhu, Jun Luo, Hang Yin, Xiaotao Zhou, Joshua Zhexue Huang, F. Benjamin Zhan
      Pages 228-237

    3. Subseries Join: A Similarity-Based Time Series Match Approach

      • Yi Lin, Michael D. McCool
      Pages 238-245

    4. TWave: High-Order Analysis of Spatiotemporal Data

      • Michael Barnathan, Vasileios Megalooikonomou, Christos Faloutsos, Feroze B. Mohamed, Scott Faro
      Pages 246-253

  3. Session 3A. Pattern Mining

    1. An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns

      • Zhigang Zheng, Yanchang Zhao, Ziye Zuo, Longbing Cao
      Pages 262-273

    2. Valency Based Weighted Association Rule Mining

      • Yun Sing Koh, Russel Pears, Wai Yeap
      Pages 274-285

    3. Ranking Sequential Patterns with Respect to Significance

      • Robert Gwadera, Fabio Crestani
      Pages 286-299

    4. Mining Association Rules in Long Sequences

      • Boris Cule, Bart Goethals
      Pages 300-309

    5. Mining Closed Episodes from Event Sequences Efficiently

      • Wenzhi Zhou, Hongyan Liu, Hong Cheng
      Pages 310-318

    6. Most Significant Substring Mining Based on Chi-square Measure

      • Sourav Dutta, Arnab Bhattacharya
      Pages 319-327

  4. Session 3B. Recommendations/Answers

    1. Probabilistic User Modeling in the Presence of Drifting Concepts

      • Vikas Bhardwaj, Ramaswamy Devarajan
      Pages 328-339

    3. Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems

      • Christine Preisach, Leandro Balby Marinho, Lars Schmidt-Thieme
      Pages 348-357

    4. Cost-Sensitive Listwise Ranking Approach

      • Min Lu, MaoQiang Xie, Yang Wang, Jie Liu, YaLou Huang
      Pages 358-366
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Other Volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

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Keywords

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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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Bibliographic Information

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Buy it now

eBook USD 89.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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