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Advances in Knowledge Discovery and Data Mining, Part II

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

  • Conference proceedings
  • © 2010

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Overview

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 6119)

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

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Conference proceedings info: PAKDD 2010.

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Keywords

Table of contents (48 papers)

  1. Front Matter

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  2. Session 4B. Dimensionality Reduction/Parallelism

    1. Subclass-Oriented Dimension Reduction with Constraint Transformation and Manifold Regularization

      • Bin Tong, Einoshin Suzuki
      Pages 1-13
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    2. Distributed Knowledge Discovery with Non Linear Dimensionality Reduction

      • Panagis Magdalinos, Michalis Vazirgiannis, Dialecti Valsamou
      Pages 14-26
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    3. DPSP: Distributed Progressive Sequential Pattern Mining on the Cloud

      • Jen-Wei Huang, Su-Chen Lin, Ming-Syan Chen
      Pages 27-34
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    4. An Approach for Fast Hierarchical Agglomerative Clustering Using Graphics Processors with CUDA

      • S. A. Arul Shalom, Manoranjan Dash, Minh Tue
      Pages 35-42
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  3. Session 5A. Novel Applications

    1. Ontology-Based Mining of Brainwaves: A Sequence Similarity Technique for Mapping Alternative Features in Event-Related Potentials (ERP) Data

      • Haishan Liu, Gwen Frishkoff, Robert Frank, Dejing Dou
      Pages 43-54
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    2. Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis

      • Tao Yang, Vojislave Kecman, Longbing Cao, Chengqi Zhang
      Pages 55-62
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    3. Satrap: Data and Network Heterogeneity Aware P2P Data-Mining

      • Hock Hee Ang, Vivekanand Gopalkrishnan, Anwitaman Datta, Wee Keong Ng, Steven C. H. Hoi
      Pages 63-70
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    4. Player Performance Prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs)

      • Kyong Jin Shim, Richa Sharan, Jaideep Srivastava
      Pages 71-80
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    5. Relevant Gene Selection Using Normalized Cut Clustering with Maximal Compression Similarity Measure

      • Rajni Bala, R. K. Agrawal, Manju Sardana
      Pages 81-88
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  4. Session 5B. Feature Selection/Visualization

    1. A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K ≥ 1

      • Tao Yang, Longbing Cao, Chengqi Zhang
      Pages 89-100
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    2. Generalized Two-Dimensional FLD Method for Feature Extraction: An Application to Face Recognition

      • Shiladitya Chowdhury, Jamuna Kanta Sing, Dipak Kumar Basu, Mita Nasipuri
      Pages 101-112
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    3. Learning Gradients with Gaussian Processes

      • Xinwei Jiang, Junbin Gao, Tianjiang Wang, Paul W. Kwan
      Pages 113-124
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    4. Analyzing the Role of Dimension Arrangement for Data Visualization in Radviz

      • Luigi Di Caro, Vanessa Frias-Martinez, Enrique Frias-Martinez
      Pages 125-132
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  5. Session 6A. Graph Mining

    1. Subgraph Mining on Directed and Weighted Graphs

      • Stephan Günnemann, Thomas Seidl
      Pages 133-146
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    2. Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph

      • Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese
      Pages 147-159
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    3. A Framework for SQL-Based Mining of Large Graphs on Relational Databases

      • Sriganesh Srihari, Shruti Chandrashekar, Srinivasan Parthasarathy
      Pages 160-167
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    4. Fast Discovery of Reliable k-terminal Subgraphs

      • Melissa Kasari, Hannu Toivonen, Petteri Hintsanen
      Pages 168-177
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    5. GTRACE2: Improving Performance Using Labeled Union Graphs

      • Akihiro Inokuchi, Takashi Washio
      Pages 178-188
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  6. Session 6B. Clustering II

    1. Orthogonal Nonnegative Matrix Tri-factorization for Semi-supervised Document Co-clustering

      • Huifang Ma, Weizhong Zhao, Qing Tan, Zhongzhi Shi
      Pages 189-200
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Other volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

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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