Advances in Knowledge Discovery and Data Mining

17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I

  • Jian Pei
  • Vincent S. Tseng
  • Longbing Cao
  • Hiroshi Motoda
  • Guandong Xu
Conference proceedings PAKDD 2013

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7818)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 7818)

Table of contents

  1. Front Matter
    PDF
  2. Discovering Local Subgroups, with an Application to Fraud Detection
    Rob M. Konijn, Wouter Duivesteijn, Wojtek Kowalczyk, Arno Knobbe
    Pages 1-12
  3. PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data
    Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer
    Pages 13-25
  4. Frequent Pattern Mining in Attributed Trees
    Claude Pasquier, Jérémy Sanhes, Frédéric Flouvat, Nazha Selmaoui-Folcher
    Pages 26-37
  5. Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs
    Anna Fariha, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung, S. M. Abdullah, Longbing Cao
    Pages 38-49
  6. ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences
    Antonio Gomariz, Manuel Campos, Roque Marin, Bart Goethals
    Pages 50-61
  7. Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data
    Jinjiu Li, Can Wang, Wei Wei, Mu Li, Chunming Liu
    Pages 62-73
  8. Online Cross-Lingual PLSI for Evolutionary Theme Patterns Analysis
    Xin Xin, Kun Zhuang, Ying Fang, Heyan Huang
    Pages 74-85
  9. F-Trail: Finding Patterns in Taxi Trajectories
    Yasuko Matsubara, Lei Li, Evangelos Papalexakis, David Lo, Yasushi Sakurai, Christos Faloutsos
    Pages 86-98
  10. Mining Appliance Usage Patterns in Smart Home Environment
    Yi-Cheng Chen, Yu-Lun Ko, Wen-Chih Peng, Wang-Chien Lee
    Pages 99-110
  11. Computational Models of Stress in Reading Using Physiological and Physical Sensor Data
    Nandita Sharma, Tom Gedeon
    Pages 111-122
  12. Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine
    Tu Dinh Nguyen, Truyen Tran, Dinh Phung, Svetha Venkatesh
    Pages 123-135
  13. MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation
    Sunil Aryal, Kai Ming Ting
    Pages 136-148
  14. Fast and Effective Single Pass Bayesian Learning
    Nayyar A. Zaidi, Geoffrey I. Webb
    Pages 149-160
  15. Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data
    Raghvendra Mall, Johan A. K. Suykens
    Pages 161-173
  16. Discovery of Regional Co-location Patterns with k-Nearest Neighbor Graph
    Feng Qian, Kevin Chiew, Qinming He, Hao Huang, Lianhang Ma
    Pages 174-186
  17. Spectral Decomposition for Optimal Graph Index Prediction
    Liyan Song, Yun Peng, Byron Choi, Jianliang Xu, Bingsheng He
    Pages 187-200
  18. Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model
    Danai Koutra, Vasileios Koutras, B. Aditya Prakash, Christos Faloutsos
    Pages 201-212
  19. Node Classification in Social Network via a Factor Graph Model
    Huan Xu, Yujiu Yang, Liangwei Wang, Wenhuang Liu
    Pages 213-224
  20. Fast Graph Stream Classification Using Discriminative Clique Hashing
    Lianhua Chi, Bin Li, Xingquan Zhu
    Pages 225-236

Other volumes

  1. Advances in Knowledge Discovery and Data Mining
    17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I
  2. Advances in Knowledge Discovery and Data Mining
    17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II
  3. Trends and Applications in Knowledge Discovery and Data Mining
    PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers

About these proceedings

Introduction

The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 363 submissions. They cover the general fields of data mining and KDD extensively, including pattern mining, classification, graph mining, applications, machine learning, feature selection and dimensionality reduction, multiple information sources mining, social networks, clustering, text mining, text classification, imbalanced data, privacy-preserving data mining, recommendation, multimedia data mining, stream data mining, data preprocessing and representation.

Keywords

big data recommender systems social media mining text classification transfer learning

Editors and affiliations

  • Jian Pei
    • 1
  • Vincent S. Tseng
    • 2
  • Longbing Cao
    • 3
  • Hiroshi Motoda
    • 4
  • Guandong Xu
    • 3
  1. 1.School of Computing ScienceSimon Fraser UniversityBurnabyCanada
  2. 2.Dept. of Computer Science and Information Engineering, Institute of Medical InformaticsNational Cheng Kung UniversityTainanTaiwan
  3. 3.Faculty of Engineering and Information TechnologyUniversity of Technology SydneySydneyAustralia
  4. 4.Asian Office of Aerospace Research and Development (AOARD), Air Force Office of Scientific Research (AFOSR), Air Force Research Laboratory USAOsaka UniversityMinato-kuJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-37453-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-37452-4
  • Online ISBN 978-3-642-37453-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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