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Advances in Knowledge Discovery and Data Mining

15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part I

  • Joshua Zhexue Huang
  • Longbing Cao
  • Jaideep Srivastava

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6634)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6634)

Table of contents

  1. Front Matter
  2. Feature Extraction

    1. Dinesh Garg, Sellamanickam Sundararajan, Shirish Shevade
      Pages 13-25
    2. Pui Cheong Gabriel Fung, Fred Morstatter, Huan Liu
      Pages 26-37
    3. Jiali Yun, Liping Jing, Jian Yu, Houkuan Huang
      Pages 38-49
    4. Xipeng Qiu, Jinlong Zhou, Xuanjing Huang
      Pages 50-61
  3. Machine Learning

    1. Daisuke Kimura, Tetsuji Kuboyama, Tetsuo Shibuya, Hisashi Kashima
      Pages 62-74
    2. Shingo Takamatsu, Issei Sato, Hiroshi Nakagawa
      Pages 87-99
    3. Bin Wang, Harry Zhang, Bruce Spencer, Yuanyuan Guo
      Pages 100-111
    4. Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaar, Amri Napolitano
      Pages 124-135
    5. Sunil Kumar Gupta, Dinh Phung, Brett Adams, Svetha Venkatesh
      Pages 136-147
    6. Sanparith Marukatat, Wasin Sinthupinyo
      Pages 160-170
  4. Clustering

    1. Liping Jing, Jiali Yun, Jian Yu, Joshua Huang
      Pages 171-182
    2. Nenad Tomašev, Miloš Radovanović, Dunja Mladenić, Mirjana Ivanović
      Pages 183-195
    3. Hui Wu, Guangzhi Qu, Xingquan Zhu
      Pages 209-224
    4. Sauravjyoti Sarmah, Rosy Das Sarmah, Dhruba Kumar Bhattacharyya
      Pages 225-236
    5. Hui-Ling Chen, Da-You Liu, Bo Yang, Jie Liu, Gang Wang, Su-Jing Wang
      Pages 249-264
    6. Tengke Xiong, Shengrui Wang, André Mayers, Ernest Monga
      Pages 265-276
  5. Classification

  6. Pattern Mining

    1. Michael Steinbach, Haoyu Yu, Gang Fang, Vipin Kumar
      Pages 338-350
    2. Jin Soung Yoo, Mark Bow
      Pages 351-362
    3. Xujuan Zhou, Yuefeng Li, Peter Bruza, Yue Xu, Raymond Y. K. Lau
      Pages 363-374
    4. Guangyan Huang, Yanchun Zhang, Jing He, Zhiming Ding
      Pages 375-386
    5. Yun Sing Koh, Russel Pears, Gillian Dobbie
      Pages 387-398
  7. Prediction

    1. Harish S. Bhat, Daniel Zaelit
      Pages 399-410
    2. Ying Huang, Bingquan Huang, M. -T. Kechadi
      Pages 411-422
  8. Text Mining

    1. Weidong Yang, Hao Zhu, Nan Li, Guansheng Zhu
      Pages 423-434
    2. Tomonari Masada, Atsuhiro Takasu, Yuichiro Shibata, Kiyoshi Oguri
      Pages 435-447
    3. Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia
      Pages 448-459
    4. Dat Huynh, Dat Tran, Wanli Ma, Dharmendra Sharma
      Pages 476-487
    5. Sangeetha Kutty, Richi Nayak, Yuefeng Li
      Pages 488-499
    6. Rathany Chan Sam, Huong Thanh Le, Thuy Thanh Nguyen, Thien Huu Nguyen
      Pages 512-524
    7. Hiroshi Fujimoto, Minoru Etoh, Akira Kinno, Yoshikazu Akinaga
      Pages 525-536
    8. Xianling Mao, Xiaobing Liu, Nan Di, Xiaoming Li, Hongfei Yan
      Pages 537-548
    9. Wim De Smet, Jie Tang, Marie-Francine Moens
      Pages 549-560
  9. Back Matter

Other volumes

  1. Advances in Knowledge Discovery and Data Mining
    15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part I
  2. 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part II
  3. PAKDD 2011 International Workshops, Shenzhen, China, May 24-27, 2011, Revised Selected Papers

About these proceedings

Introduction

The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011.

The total of 32 revised full papers and 58 revised short papers were carefully reviewed and selected from 331 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, machine learning, artificial intelligence and pattern recognition, data warehousing and databases, statistics, knoweldge engineering, behavior sciences, visualization, and emerging areas such as social network analysis.

Keywords

association rule mining classification clustering data analysis sequence analysis statistical learning text mining

Editors and affiliations

  • Joshua Zhexue Huang
    • 1
  • Longbing Cao
    • 2
  • Jaideep Srivastava
    • 3
  1. 1.Shenzhen Institutes of Advanced Technology (SIAT)Chinese Academy of SciencesShenzhenChina
  2. 2.Faculty of Engineering and Information Technology, Center for Quantum Computation and Intelligent Systems, Data Sciences and Knowledge Discovery LabUniversity of Technology SydneySydneyAustralia
  3. 3.Department of Computer Science and EngineeringUniversity of MinnesotaMinneapolisUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-20841-6
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-20840-9
  • Online ISBN 978-3-642-20841-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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