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Advances in Knowledge Discovery and Data Mining

13th Pacific-Asia Conference, PAKDD 2009 Bangkok, Thailand, April 27-30, 2009 Proceedings

  • Thanaruk Theeramunkong
  • Boonserm Kijsirikul
  • Nick Cercone
  • Tu-Bao Ho
Conference proceedings PAKDD 2009

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5476)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5476)

Table of contents

  1. Front Matter
    PDF

  2. Keynote Speeches

    1. KDD for BSN – Towards the Future of Pervasive Sensing
      Guang-Zhong Yang
      Pages 1-1
      PDF
    2. Finding Hidden Structures in Relational Databases
      Jeffrey Xu Yu
      Pages 2-2
      PDF
    3. The Future of Search: An Online Content Perspective
      Andrew Tomkins
      Pages 3-3
      PDF

  3. Regular Papers

    1. DTU: A Decision Tree for Uncertain Data
      Biao Qin, Yuni Xia, Fang Li
      Pages 4-15
    2. Efficient Privacy-Preserving Link Discovery
      Xiaoyun He, Jaideep Vaidya, Basit Shafiq, Nabil Adam, Evimaria Terzi, Tyrone Grandison
      Pages 16-27
    3. On Link Privacy in Randomizing Social Networks
      Xiaowei Ying, Xintao Wu
      Pages 28-39
    4. Sentence-Level Novelty Detection in English and Malay
      Agus T. Kwee, Flora S. Tsai, Wenyin Tang
      Pages 40-51
    5. Text Categorization Using Fuzzy Proximal SVM and Distributional Clustering of Words
      Mani Arun Kumar, Madan Gopal
      Pages 52-61
    6. Cool Blog Classification from Positive and Unlabeled Examples
      Kritsada Sriphaew, Hiroya Takamura, Manabu Okumura
      Pages 62-73
    7. Thai Word Segmentation with Hidden Markov Model and Decision Tree
      Poramin Bheganan, Richi Nayak, Yue Xu
      Pages 74-85
    8. An Efficient Method for Generating, Storing and Matching Features for Text Mining
      Shing-Kit Chan, Wai Lam
      Pages 86-97
    9. Robust Graph Hyperparameter Learning for Graph Based Semi-supervised Classification
      Krikamol Muandet, Sanparith Marukatat, Cholwich Nattee
      Pages 98-109
    10. Regularized Local Reconstruction for Clustering
      Jun Sun, Zhiyong Shen, Bai Su, Yidong Shen
      Pages 110-121
    11. Clustering with Lower Bound on Similarity
      Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi, Mohammed J. Zaki
      Pages 122-133
    12. Approximate Spectral Clustering
      Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James Bezdek
      Pages 134-146
    13. An Integration of Fuzzy Association Rules and WordNet for Document Clustering
      Chun-Ling Chen, Frank S. C. Tseng, Tyne Liang
      Pages 147-159
    14. Nonlinear Data Analysis Using a New Hybrid Data Clustering Algorithm
      Ureerat Wattanachon, Jakkarin Suksawatchon, Chidchanok Lursinsap
      Pages 160-171
    15. A Polynomial-Delay Polynomial-Space Algorithm for Extracting Frequent Diamond Episodes from Event Sequences
      Takashi Katoh, Hiroki Arimura, Kouichi Hirata
      Pages 172-183
    16. A Statistical Approach for Binary Vectors Modeling and Clustering
      Nizar Bouguila, Khalid Daoudi
      Pages 184-195
    17. Multi-resolution Boosting for Classification and Regression Problems
      Chandan K. Reddy, Jin-Hyeong Park
      Pages 196-207
    18. Interval Data Classification under Partial Information: A Chance-Constraint Approach
      Sahely Bhadra, J. Saketha Nath, Aharon Ben-Tal, Chiranjib Bhattacharyya
      Pages 208-219
    19. Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules
      Einoshin Suzuki
      Pages 220-231
    20. The Studies of Mining Frequent Patterns Based on Frequent Pattern Tree
      Show-Jane Yen, Yue-Shi Lee, Chiu-Kuang Wang, Jung-Wei Wu, Liang-Yu Ouyang
      Pages 232-241
    21. Discovering Periodic-Frequent Patterns in Transactional Databases
      Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed, Byeong-Soo Jeong, Young-Koo Lee
      Pages 242-253
    22. Quantifying Asymmetric Semantic Relations from Query Logs by Resource Allocation
      Zhiyuan Liu, Yabin Zheng, Maosong Sun
      Pages 254-265
    23. Acquiring Semantic Relations Using the Web for Constructing Lightweight Ontologies
      Wilson Wong, Wei Liu, Mohammed Bennamoun
      Pages 266-277
    24. Detecting Abnormal Events via Hierarchical Dirichlet Processes
      Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu
      Pages 278-289
    25. Active Learning for Causal Bayesian Network Structure with Non-symmetrical Entropy
      Guoliang Li, Tze-Yun Leong
      Pages 290-301
    26. A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification
      Bin Liu, Ying Yang, Geoffrey I. Webb, Janice Boughton
      Pages 302-313
    27. Analysis of Variational Bayesian Matrix Factorization
      Shinichi Nakajima, Masashi Sugiyama
      Pages 314-326
    28. Variational Bayesian Approach for Long-Term Relevance Feedback
      Sabri Boutemedjet, Djemel Ziou
      Pages 327-338
    29. Detecting Link Hijacking by Web Spammers
      Young-joo Chung, Masashi Toyoda, Masaru Kitsuregawa
      Pages 339-350
    30. A Data Driven Ensemble Classifier for Credit Scoring Analysis
      Nan-Chen Hsieh, Lun-Ping Hung, Chia-Ling Ho
      Pages 351-362
    31. A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams
      Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham
      Pages 363-375
    32. Parameter Estimation in Semi-Random Decision Tree Ensembling on Streaming Data
      Peipei Li, Qianhui Liang, Xindong Wu, Xuegang Hu
      Pages 376-388
    33. Exploiting the Block Structure of Link Graph for Efficient Similarity Computation
      Pei Li, Yuanzhe Cai, Hongyan Liu, Jun He, Xiaoyong Du
      Pages 389-400
    34. Online Feature Selection Algorithm with Bayesian ℓ1 Regularization
      Yunpeng Cai, Yijun Sun, Jian Li, Steve Goodison
      Pages 401-413
    35. Feature Selection for Local Learning Based Clustering
      Hong Zeng, Yiu-ming Cheung
      Pages 414-425
    36. RV-SVM: An Efficient Method for Learning Ranking SVM
      Hwanjo Yu, Youngdae Kim, Seungwon Hwang
      Pages 426-438
    37. A Kernel Framework for Protein Residue Annotation
      Huzefa Rangwala, Christopher Kauffman, George Karypis
      Pages 439-451
    38. Dynamic Exponential Family Matrix Factorization
      Kohei Hayashi, Jun-ichiro Hirayama, Shin Ishii
      Pages 452-462
    39. A Nonparametric Bayesian Learning Model: Application to Text and Image Categorization
      Nizar Bouguila, Djemel Ziou
      Pages 463-474

  4. Short Papers

    1. Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-Sampling TEchnique for Handling the Class Imbalanced Problem
      Chumphol Bunkhumpornpat, Krung Sinapiromsaran, Chidchanok Lursinsap
      Pages 475-482
    2. Using Highly Expressive Contrast Patterns for Classification - Is It Worthwhile?
      Elsa Loekito, James Bailey
      Pages 483-490
    3. Arif Index for Predicting the Classification Accuracy of Features and Its Application in Heart Beat Classification Problem
      Muhammad Arif, Fayyaz A. Afsar, Muhammad Usman Akram, Adnan Fida
      Pages 491-498
    4. UCI++: Improved Support for Algorithm Selection Using Datasetoids
      Carlos Soares
      Pages 499-506
    5. Accurate Synthetic Generation of Realistic Personal Information
      Peter Christen, Agus Pudjijono
      Pages 507-514
    6. An Efficient Approximate Protocol for Privacy-Preserving Association Rule Mining
      Murat Kantarcioglu, Robert Nix, Jaideep Vaidya
      Pages 515-524
    7. Information Extraction from Thai Text with Unknown Phrase Boundaries
      Peerasak Intarapaiboon, Ekawit Nantajeewarawat, Thanaruk Theeramunkong
      Pages 525-532

Other volumes

  1. Advances in Knowledge Discovery and Data Mining
    13th Pacific-Asia Conference, PAKDD 2009 Bangkok, Thailand, April 27-30, 2009 Proceedings
  2. New Frontiers in Applied Data Mining
    PAKDD 2009 International Workshops, Bangkok, Thailand, April 27-30, 2009. Revised Selected Papers

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009.

The 39 revised full papers and 73 revised short papers presented together with 3 keynote talks were carefully reviewed and selected from 338 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.

Keywords

data mining data warehouse database databases knowledge knowledge discovery knowledge-based system knowledge-based systems learning machine learning statistics visualization warehousing

Editors and affiliations

  • Thanaruk Theeramunkong
    • 1
  • Boonserm Kijsirikul
    • 2
  • Nick Cercone
    • 3
  • Tu-Bao Ho
    • 4
  1. 1.Sirindhorn International Institute of TechnologyThammasat UniversityBangkadi, MuangThailand
  2. 2.Dept. of Computer Engineering, Faculty of EngineeringChulalongkorn UniversityBangkokThailand
  3. 3.Faculty of Science & EngineeringYork UniversityTorontoCanada
  4. 4.School of Knowledge ScienceJapan Advanced Institute of Science and TechnologyIshikawaJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-01307-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-642-01306-5
  • Online ISBN 978-3-642-01307-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site