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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 II

  • Conference proceedings
  • © 2011

Overview

Editors:
  1. Joshua Zhexue Huang

    1. Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences, Shenzhen, China

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  2. Longbing Cao

    1. Faculty of Engineering and Information Technology, Center for Quantum Computation and Intelligent Systems, Data Sciences and Knowledge Discovery Lab, University of Technology Sydney, Sydney, Australia

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  3. Jaideep Srivastava

    1. Department of Computer Science and Engineering, University of Minnesota, Minneapolis, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6635)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PAKDD 2011.

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Table of contents (45 papers)

  1. Front Matter

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  2. Graph Mining

    1. Spectral Analysis of k-Balanced Signed Graphs

      • Leting Wu, Xiaowei Ying, Xintao Wu, Aidong Lu, Zhi-Hua Zhou
      Pages 1-12

    2. Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation

      • U Kang, Brendan Meeder, Christos Faloutsos
      Pages 13-25

    3. LGM: Mining Frequent Subgraphs from Linear Graphs

      • Yasuo Tabei, Daisuke Okanohara, Shuichi Hirose, Koji Tsuda
      Pages 26-37

    4. Efficient Centrality Monitoring for Time-Evolving Graphs

      • Yasuhiro Fujiwara, Makoto Onizuka, Masaru Kitsuregawa
      Pages 38-50

    5. Graph-Based Clustering with Constraints

      • Rajul Anand, Chandan K. Reddy
      Pages 51-62

  3. Social Network/Online Analysis

    1. A Partial Correlation-Based Bayesian Network Structure Learning Algorithm under SEM

      • Jing Yang, Lian Li
      Pages 63-74

    2. Predicting Friendship Links in Social Networks Using a Topic Modeling Approach

      • Rohit Parimi, Doina Caragea
      Pages 75-86

    3. Info-Cluster Based Regional Influence Analysis in Social Networks

      • Chao Li, Zhongying Zhao, Jun Luo, Jianping Fan
      Pages 87-98

    4. Utilizing Past Relations and User Similarities in a Social Matching System

      • Richi Nayak
      Pages 99-110

    5. On Sampling Type Distribution from Heterogeneous Social Networks

      • Jhao-Yin Li, Mi-Yen Yeh
      Pages 111-122

    6. Ant Colony Optimization with Markov Random Walk for Community Detection in Graphs

      • Di Jin, Dayou Liu, Bo Yang, Carlos Baquero, Dongxiao He
      Pages 123-134

  4. Time Series Analysis

    1. Faster and Parameter-Free Discord Search in Quasi-Periodic Time Series

      • Wei Luo, Marcus Gallagher
      Pages 135-148

    2. INSIGHT: Efficient and Effective Instance Selection for Time-Series Classification

      • Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme
      Pages 149-160

    3. Multiple Time-Series Prediction through Multiple Time-Series Relationships Profiling and Clustered Recurring Trends

      • Harya Widiputra, Russel Pears, Nikola Kasabov
      Pages 161-172

    4. Probabilistic Feature Extraction from Multivariate Time Series Using Spatio-Temporal Constraints

      • MichaÅ‚ Lewandowski, Dimitrios Makris, Jean-Christophe Nebel
      Pages 173-184

  5. Sequence Analysis

    1. Real-Time Change-Point Detection Using Sequentially Discounting Normalized Maximum Likelihood Coding

      • Yasuhiro Urabe, Kenji Yamanishi, Ryota Tomioka, Hiroki Iwai
      Pages 185-197

    2. Compression for Anti-Adversarial Learning

      • Yan Zhou, Meador Inge, Murat Kantarcioglu
      Pages 198-209

    3. Mining Sequential Patterns from Probabilistic Databases

      • Muhammad Muzammal, Rajeev Raman
      Pages 210-221

    4. Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training

      • Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda
      Pages 222-233
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Other volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

  3. New Frontiers in Applied Data Mining

Keywords

About this book

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, knowledge engineering, behavior sciences, visualization, and emerging areas such as social network analysis.

Editors and Affiliations

  • Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences, Shenzhen, China

    Joshua Zhexue Huang

  • Faculty of Engineering and Information Technology, Center for Quantum Computation and Intelligent Systems, Data Sciences and Knowledge Discovery Lab, University of Technology Sydney, Sydney, Australia

    Longbing Cao

  • Department of Computer Science and Engineering, University of Minnesota, Minneapolis, USA

    Jaideep Srivastava

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