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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
    2. Anonymizing Transaction Data by Integrating Suppression and Generalization
      Junqiang Liu, Ke Wang
      Pages 171-180
    3. Satisfying Privacy Requirements: One Step before Anonymization
      Xiaoxun Sun, Hua Wang, Jiuyong Li
      Pages 181-188
    4. Computation of Ratios of Secure Summations in Multi-party Privacy-Preserving Latent Dirichlet Allocation
      Bin Yang, Hiroshi Nakagawa
      Pages 189-197
    5. Privacy-Preserving Network Aggregation
      Troy Raeder, Marina Blanton, Nitesh V. Chawla, Keith Frikken
      Pages 198-207
    6. Multivariate Equi-width Data Swapping for Private Data Publication
      Yidong Li, Hong Shen
      Pages 208-215

  7. 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
    5. Spatial Clustering with Obstacles Constraints by Dynamic Piecewise-Mapped and Nonlinear Inertia Weights PSO
      Xueping Zhang, Haohua Du, Jiayao Wang
      Pages 254-261

  8. 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

  9. Session 3B. Recommendations/Answers

    1. Probabilistic User Modeling in the Presence of Drifting Concepts
      Vikas Bhardwaj, Ramaswamy Devarajan
      Pages 328-339
    2. Using Association Rules to Solve the Cold-Start Problem in Recommender Systems
      Gavin Shaw, Yue Xu, Shlomo Geva
      Pages 340-347
    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
    5. Mining Wikipedia and Yahoo! Answers for Question Expansion in Opinion QA
      Yajie Miao, Chunping Li
      Pages 367-374
    6. Answer Diversification for Complex Question Answering on the Web
      Palakorn Achananuparp, Xiaohua Hu, Tingting He, Christopher C. Yang, Yuan An, Lifan Guo
      Pages 375-382
    7. Vocabulary Filtering for Term Weighting in Archived Question Search
      Zhao-Yan Ming, Kai Wang, Tat-Seng Chua
      Pages 383-390

  10. Session 3C. Topic Modeling/Information Extraction

    1. On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations
      R. Arun, V. Suresh, C. E. Veni Madhavan, M. N. Narasimha Murthy
      Pages 391-402
    2. Supervising Latent Topic Model for Maximum-Margin Text Classification and Regression
      Wanhong Xu
      Pages 403-414
    3. Resource-Bounded Information Extraction: Acquiring Missing Feature Values on Demand
      Pallika Kanani, Andrew McCallum, Shaohan Hu
      Pages 415-427
    4. Efficient Deep Web Crawling Using Reinforcement Learning
      Lu Jiang, Zhaohui Wu, Qian Feng, Jun Liu, Qinghua Zheng
      Pages 428-439
    5. Topic Decomposition and Summarization
      Wei Chen, Can Wang, Chun Chen, Lijun Zhang, Jiajun Bu
      Pages 440-448

  11. Session 4A. Skylines/Uncertainty

    1. UNN: A Neural Network for Uncertain Data Classification
      Jiaqi Ge, Yuni Xia, Chandima Nadungodage
      Pages 449-460
    2. SkyDist: Data Mining on Skyline Objects
      Christian Böhm, Annahita Oswald, Claudia Plant, Michael Plavinski, Bianca Wackersreuther
      Pages 461-470

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 Computer Science (R0)
  • Print ISBN 978-3-642-13656-6
  • Online ISBN 978-3-642-13657-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site