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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
  • 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 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. Mining Interesting Itemsets in Graph Datasets

    • Boris Cule, Bart Goethals, Tayena Hendrickx
    Pages 237-248

  2. Robust Synchronization-Based Graph Clustering

    • Junming Shao, Xiao He, Qinli Yang, Claudia Plant, Christian Böhm
    Pages 249-260

  3. Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors

    • Stephan Günnemann, Brigitte Boden, Ines Färber, Thomas Seidl
    Pages 261-275

  4. Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection

    • Yu-Chun Shen, Tsung-Ting Kuo, I-Ning Yeh, Tzu-Ting Chen, Shou-De Lin
    Pages 276-288

  5. EEG-Based Person Verification Using Multi-Sphere SVDD and UBM

    • Phuoc Nguyen, Dat Tran, Trung Le, Xu Huang, Wanli Ma
    Pages 289-300

  7. Mining Representative Movement Patterns through Compression

    • Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire
    Pages 314-326

  8. NARGES: Prediction Model for Informed Routing in a Communications Network

    • Hooman Homayounfard, Paul J. Kennedy, Robin Braun
    Pages 327-338

  9. Mining Usage Traces of Mobile Apps for Dynamic Preference Prediction

    • Zhung-Xun Liao, Wen-Chih Peng, Philip S. Yu
    Pages 339-353

  10. Leveraging Hybrid Citation Context for Impact Summarization

    • Po Hu, Yujing Guo, Donghong Ji, Jiacong He
    Pages 354-365

  11. Optimal Allocation of High Dimensional Assets through Canonical Vines

    • Wei Wei, Jinyan Li, Longbing Cao, Jingguang Sun, Chunming Liu, Mu Li
    Pages 366-377

  12. Inducing Context Gazetteers from Encyclopedic Databases for Named Entity Recognition

    • Han-Cheol Cho, Naoaki Okazaki, Kentaro Inui
    Pages 378-389

  13. An Optimization Method for Proportionally Diversifying Search Results

    • Lin Wu, Yang Wang, John Shepherd, Xiang Zhao
    Pages 390-401

  14. Joint Naïve Bayes and LDA for Unsupervised Sentiment Analysis

    • Yong Zhang, Dong-Hong Ji, Ying Su, Hongmiao Wu
    Pages 402-413

  15. An Unsupervised Learning Model to Perform Side Channel Attack

    • Jung-Wei Chou, Min-Huang Chu, Yi-Lin Tsai, Yun Jin, Chen-Mou Cheng, Shou-De Lin
    Pages 414-425

  16. Decisive Supervised Learning

    • Eileen A. Ni, Da Kuang, Charles X. Ling
    Pages 426-437

  17. Learning Overlap Optimization for Domain Decomposition Methods

    • Steven Burrows, Jörg Frochte, Michael Völske, Ana Belén Martínez Torres, Benno Stein
    Pages 438-449

  18. CLUEKR : CLUstering Based Efficient kNN Regression

    • Harshit Dubey, Vikram Pudi
    Pages 450-458

  19. AREM: A Novel Associative Regression Model Based on EM Algorithm

    • Zhonghua Jiang, George Karypis
    Pages 459-470

  20. One-Class Transfer Learning with Uncertain Data

    • Bo Liu, Philip S. Yu, Yanshan Xiao, Zhifeng Hao
    Pages 471-483
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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

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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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