Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II | SpringerLink
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Advances in Knowledge Discovery and Data Mining

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

  • Conference proceedings
  • © 2013

Overview

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
  • Fast track conference proceedings
  • Up-to-date results in knowledge discovery and data mining

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7819)

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

Included in the following conference series:

Conference proceedings info: PAKDD 2013.

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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

Table of contents (49 papers)

  1. Front Matter

    Download chapter PDF

  2. ProCF: Probabilistic Collaborative Filtering for Reciprocal Recommendation

    • Xiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Paul Compton et al.
    Pages 1-12

  3. Product and User Dependent Social Network Models for Recommender Systems

    • Min Li, Zhiwei Jiang, Bin Luo, Jiubin Tang, Qing Gu, Daoxu Chen
    Pages 13-24

  4. Learning Representative Nodes in Social Networks

    • Ke Sun, Donn Morrison, Eric Bruno, Stéphane Marchand-Maillet
    Pages 25-36

  5. Tracing Influential Nodes in a Social Network with Competing Information

    • Bolei Zhang, Zhuzhong Qian, Xiaoliang Wang, Sanglu Lu
    Pages 37-48

  6. ViStruclizer: A Structural Visualizer for Multi-dimensional Social Networks

    • Bing Tian Dai, Agus Trisnajaya Kwee, Ee-Peng Lim
    Pages 49-60

  7. Influential Nodes in a One-Wave Diffusion Model for Location-Based Social Networks

    • Hao-Hsiang Wu, Mi-Yen Yeh
    Pages 61-72

  8. Modeling Social Information Learning among Taxi Drivers

    • Siyuan Liu, Ramayya Krishnan, Emma Brunskill, Lionel M. Ni
    Pages 73-84

  9. Mining User Interests from Information Sharing Behaviors in Social Media

    • Tingting Wang, Hongyan Liu, Jun He, Xiaoyong Du
    Pages 85-98

  10. Anonymization for Multiple Released Social Network Graphs

    • Chih-Jui Lin Wang, En Tzu Wang, Arbee L. P. Chen
    Pages 99-110

  11. A New, Fast and Accurate Algorithm for Hierarchical Clustering on Euclidean Distances

    • Elio Masciari, Giuseppe Massimiliano Mazzeo, Carlo Zaniolo
    Pages 111-122

  12. Clustering Patient Medical Records via Sparse Subspace Representation

    • Budhaditya Saha, Duc-Son Pham, Dinh Phung, Svetha Venkatesh
    Pages 123-134

  13. A Unified Metric for Categorical and Numerical Attributes in Data Clustering

    • Yiu-ming Cheung, Hong Jia
    Pages 135-146

  14. An Extension of the Infinite Relational Model Incorporating Interaction between Objects

    • Iku Ohama, Hiromi Iida, Takuya Kida, Hiroki Arimura
    Pages 147-159

  15. Density-Based Clustering Based on Hierarchical Density Estimates

    • Ricardo J. G. B. Campello, Davoud Moulavi, Joerg Sander
    Pages 160-172

  16. Stock Trend Prediction by Classifying Aggregative Web Topic-Opinion

    • Li Xue, Yun Xiong, Yangyong Zhu, Jianfeng Wu, Zhiyuan Chen
    Pages 173-184

  17. The Role of Hubs in Cross-Lingual Supervised Document Retrieval

    • Nenad Tomašev, Jan Rupnik, Dunja Mladenić
    Pages 185-196

  18. Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters

    • Xiaoxiao Li, Jiyang Chen, Osmar Zaiane
    Pages 197-208

  19. Query-Document Relevance Topic Models

    • Meng-Sung Wu, Chia-Ping Chen, Hsin-Min Wang
    Pages 209-220

  20. A Two-Stage Approach for Generating Topic Models

    • Yang Gao, Yue Xu, Yuefeng Li, Bin Liu
    Pages 221-232
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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

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

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 II

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

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-642-37456-2

  • Publisher: Springer Berlin, Heidelberg

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

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2013

  • Softcover ISBN: 978-3-642-37455-5Published: 19 March 2013

  • eBook ISBN: 978-3-642-37456-2Published: 05 April 2013

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXII, 588

  • Number of Illustrations: 157 b/w illustrations

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

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