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  • Conference proceedings
  • © 2013

Advances in Knowledge Discovery and Data Mining

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

Editors:

  1. Jian Pei

    1. School of Computing Science, Simon Fraser University, Burnaby, Canada

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  2. Vincent S. Tseng

    1. Dept. of Computer Science and Information Engineering, Institute of Medical Informatics, National Cheng Kung University, Tainan, Taiwan

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  3. Longbing Cao

    1. Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia

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  4. Hiroshi Motoda

    1. Asian Office of Aerospace Research and Development (AOARD), Air Force Office of Scientific Research (AFOSR), Air Force Research Laboratory USA, Osaka University, Minato-ku, Japan

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  5. Guandong Xu

    1. Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia

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  • State-of-the-art research
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  • Up-to-date results in knowledge discovery and data mining

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

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

Conference series link(s): PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining

Conference proceedings info: PAKDD 2013.

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Table of contents (49 papers)

  1. Front Matter

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  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

  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

  14. Fast and Effective Single Pass Bayesian Learning

    • Nayyar A. Zaidi, Geoffrey I. Webb
    Pages 149-160

  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
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Other Volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

  3. Trends and Applications in Knowledge Discovery and Data Mining

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About this book

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.
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Keywords

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Editors and Affiliations

  • School of Computing Science, Simon Fraser University, Burnaby, Canada

    Jian Pei

  • Dept. of Computer Science and Information Engineering, Institute of Medical Informatics, National Cheng Kung University, Tainan, Taiwan

    Vincent S. Tseng

  • Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia

    Longbing Cao, Guandong Xu

  • Asian Office of Aerospace Research and Development (AOARD), Air Force Office of Scientific Research (AFOSR), Air Force Research Laboratory USA, Osaka University, Minato-ku, Japan

    Hiroshi Motoda

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Bibliographic Information

  • Book Title: Advances in Knowledge Discovery and Data Mining

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

  • Editors: Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-642-37453-1

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2013

  • Softcover ISBN: 978-3-642-37452-4Published: 20 March 2013

  • eBook ISBN: 978-3-642-37453-1Published: 06 April 2013

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXII, 610

  • Number of Illustrations: 199 b/w illustrations

  • Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Information Storage and Retrieval

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Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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