Advanced Data Mining and Applications

9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II

  • Hiroshi Motoda
  • Zhaohui Wu
  • Longbing Cao
  • Osmar Zaiane
  • Min Yao
  • Wei Wang
Conference proceedings ADMA 2013

DOI: 10.1007/978-3-642-53917-6

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8347)

Table of contents (47 papers)

  1. Front Matter
  2. Clustering

    1. Semi-supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video Categorization
      Amjad Mahmood, Tianrui Li, Yan Yang, Hongjun Wang
      Pages 1-12
    2. A Scalable Approach for General Correlation Clustering
      Yubo Wang, Linli Xu, Yucheng Chen, Hao Wang
      Pages 13-24
    3. A Fast Spectral Clustering Method Based on Growing Vector Quantization for Large Data Sets
      Xiujun Wang, Xiao Zheng, Feng Qin, Baohua Zhao
      Pages 25-33
    4. A Novel Deterministic Sampling Technique to Speedup Clustering Algorithms
      Sanguthevar Rajasekaran, Subrata Saha
      Pages 34-46
    5. Software Clustering Using Automated Feature Subset Selection
      Zubair Shah, Rashid Naseem, Mehmet A. Orgun, Abdun Mahmood, Sara Shahzad
      Pages 47-58
    6. The Use of Transfer Algorithm for Clustering Categorical Data
      Zhengrong Xiang, Lichuan Ji
      Pages 59-70
    7. eDARA: Ensembles DARA
      Chung Seng Kheau, Rayner Alfred, HuiKeng Lau
      Pages 71-82
  3. Association Rule Mining

    1. MEIT: Memory Efficient Itemset Tree for Targeted Association Rule Mining
      Philippe Fournier-Viger, Espérance Mwamikazi, Ted Gueniche, Usef Faghihi
      Pages 95-106
  4. Pattern Mining

    1. Mining Frequent Patterns in Print Logs with Semantically Alternative Labels
      Xin Li, Lei Zhang, Enhong Chen, Yu Zong, Guandong Xu
      Pages 107-119
    2. Minimising K-Dominating Set in Arbitrary Network Graphs
      Guangyuan Wang, Hua Wang, Xiaohui Tao, Ji Zhang, Jinhua Zhang
      Pages 120-132
  5. Regression

    1. Logistic Regression Bias Correction for Large Scale Data with Rare Events
      Zhen Qiu, Hongyan Li, Hanchen Su, Gaoyan Ou, Tengjiao Wang
      Pages 133-144
  6. Prediction

    1. Deep Architecture for Traffic Flow Prediction
      Wenhao Huang, Haikun Hong, Man Li, Weisong Hu, Guojie Song, Kunqing Xie
      Pages 165-176
    2. Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction
      Ted Gueniche, Philippe Fournier-Viger, Vincent S. Tseng
      Pages 177-188

Other volumes

  1. Advanced Data Mining and Applications
    9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I
  2. Advanced Data Mining and Applications
    9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II

About these proceedings

Introduction

The two-volume set LNAI 8346 and 8347 constitutes the thoroughly refereed proceedings of the 9th International Conference on Advanced Data Mining and Applications, ADMA 2013, held in Hangzhou, China, in December 2013.
The 32 regular papers and 64 short papers presented in these two volumes were carefully reviewed and selected from 222 submissions. The papers included in these two volumes cover the following topics: opinion mining, behavior mining, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification, clustering, association rule mining, pattern mining, regression, predication, feature extraction, identification, privacy preservation, applications, and machine learning.

Keywords

data streams semantic web social media statistics user behavior

Editors and affiliations

  • Hiroshi Motoda
    • 1
  • Zhaohui Wu
    • 2
  • Longbing Cao
    • 3
  • Osmar Zaiane
    • 4
  • Min Yao
    • 5
  • Wei Wang
    • 6
  1. 1.US Air Force Office of Scientific ResearchTokyoJapan
  2. 2.School of Computer Science and TechnologyZhejiang UniversityHangzhouChina
  3. 3.Faculty of Engineering and Information TechnologyUniversity of TechnologySydneyAustralia
  4. 4.Department of Computing Science, EdmontonUniversity of AlbertaCanada
  5. 5.College of Computer Science and TechnologyZhejiang UniversityHangzhouChina
  6. 6.School of Computer ScienceFudan UniversityShanghaiChina

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-53916-9
  • Online ISBN 978-3-642-53917-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349