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Advances in Knowledge Discovery and Data Mining

18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II

  • Vincent S. Tseng
  • Tu Bao Ho
  • Zhi-Hua Zhou
  • Arbee L. P. Chen
  • Hung-Yu Kao

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8444)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8444)

Table of contents

  1. Front Matter
  2. Recommendation

    1. Kaisong Song, Daling Wang, Shi Feng, Yifei Zhang, Wen Qu, Ge Yu
      Pages 1-12
    2. Ke Ji, Hong Shen, Hui Tian, Yanbo Wu, Jun Wu
      Pages 13-24
    3. Fan-Kai Chou, Meng-Fen Chiang, Yi-Cheng Chen, Wen-Chih Peng
      Pages 25-37
    4. Evangelia Christakopoulou, George Karypis
      Pages 38-49
    5. Peifeng Yin, Mao Ye, Wang-Chien Lee, Zhenhui Li
      Pages 50-61
  3. Feature Selection and Reduction

    1. Xinwei Jiang, Junbin Gao, Xia Hong, Zhihua Cai
      Pages 62-73
    2. Xiaojun Chang, Haoquan Shen, Sen Wang, Jiajun Liu, Xue Li
      Pages 74-85
    3. Shenglei Chen, Ana M. Martinez, Geoffrey I. Webb
      Pages 86-97
    4. Wenhao Shu, Hong Shen, Yingpeng Sang, Yidong Li, Jun Wu
      Pages 98-109
  4. Machine Learning

    1. Bo Liu, Liping Jing, Jian Yu, Jia Li
      Pages 110-121
    2. Yu-Cheng Chou, Hsuan-Tien Lin
      Pages 122-133
    3. Xinhui Tu, Jing Luo, Bo Li, Tingting He, Jinguang Gu
      Pages 134-145
    4. Elnaz Delpisheh, Aijun An
      Pages 146-161
    5. Yang Wang, Jian Pei, Xuemin Lin, Qing Zhang, Wenjie Zhang
      Pages 162-173
  5. Temporal and Spatial Data

    1. Chung-Hsien Yu, Wei Ding, Ping Chen, Melissa Morabito
      Pages 174-185
    2. Meng Chen, Yang Liu, Xiaohui Yu
      Pages 186-197
    3. Da-Cheng Juan, Lei Li, Huan-Kai Peng, Diana Marculescu, Christos Faloutsos
      Pages 198-209
    4. Yi-Cheng Chen, Chien-Chih Chen, Wen-Chih Peng, Wang-Chien Lee
      Pages 222-233
  6. Novel Algorithms

    1. Yang Wang, Xuemin Lin, Qing Zhang, Lin Wu
      Pages 234-246
    2. Nguyen Thanh Tung, Joshua Zhexue Huang, Imran Khan, Mark Junjie Li, Graham Williams
      Pages 247-258
    3. Laurence A. F. Park, Glenn Stone
      Pages 259-270
    4. Miguel Araujo, Spiros Papadimitriou, Stephan Günnemann, Christos Faloutsos, Prithwish Basu, Ananthram Swami et al.
      Pages 271-283
  7. Clustering

    1. Xiaona Wu, Jia Zeng, Jianfeng Yan, Xiaosheng Liu
      Pages 296-310
    2. Chuanren Liu, Tianming Hu, Yong Ge, Hui Xiong
      Pages 311-323
    3. Lydia Boudjeloud-Assala, Ta Minh Thuy
      Pages 324-335
    4. Toshiko Matsui, Yukino Baba, Toshihiro Kamishima, Hisashi Kashima
      Pages 336-347
    5. Zunyan Xiong, Yizhou Zang, Xingpeng Jiang, Xiaohua Hu
      Pages 348-359
  8. Biomedical Data Mining

    1. Chih-Ping Wei, Kuei-An Chen, Lien-Chin Chen
      Pages 373-384
    2. Xiaofei Yang, Jiming Liu, William Kwok Wai Cheung, Xiao-Nong Zhou
      Pages 385-399
  9. Stream Mining

    1. Dandan Zhang, Hong Shen, Tian Hui, Yidong Li, Jun Wu, Yingpeng Sang
      Pages 413-424
    2. David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
      Pages 437-448
    3. Huizhi Liang, Yanzhe Wang, Peter Christen, Ross Gayler
      Pages 449-460
    4. Mahsa Salehi, Christopher A. Leckie, Masud Moshtaghi, Tharshan Vaithianathan
      Pages 461-473
  10. Outlier and Anomaly Detection

    1. Zhenguang Liu, Hao Huang, Qinming He, Kevin Chiew, Lianhang Ma
      Pages 498-509
    2. Sunil Aryal, Kai Ming Ting, Jonathan R. Wells, Takashi Washio
      Pages 510-521
  11. Multi-Sources Mining

    1. Shaofeng Hu, Jiangtao Ren, Changshui Zhang, Chaogui Zhang
      Pages 522-533
    2. Chen Luo, Wei Pang, Zhe Wang
      Pages 548-559
    3. Chia-Jen Lin, Tsung-Ting Kuo, Shou-De Lin
      Pages 560-571
  12. Unstructured Data and Text Mining

    1. Minoru Yoshida, Kazuyuki Matsumoto, Kenji Kita, Hiroshi Nakagawa
      Pages 572-583
    2. Wei Jiang, Haibin Ruan, Li Zhang, Philip Lew, Jing Jiang
      Pages 584-595
    3. Yi Shen, Jianjun Yu, Kejun Dong, Kai Nan
      Pages 596-607

Other volumes

  1. 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I
  2. Advances in Knowledge Discovery and Data Mining
    18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II
  3. PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA,Tainan, Taiwan, May 13-16, 2014. Revised Selected Papers

About these proceedings

Introduction

The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.

Keywords

Web and social media search clustering and classification data streaming machine learning neural networks probabilistic reasoning recommender systems social networks supervised learning text classification

Editors and affiliations

  • Vincent S. Tseng
    • 1
  • Tu Bao Ho
    • 2
  • Zhi-Hua Zhou
    • 3
  • Arbee L. P. Chen
    • 4
  • Hung-Yu Kao
    • 1
  1. 1.National Cheng Kung UniversityTainanR.O.C.
  2. 2.Japan Advanced Institute of Science and TechnologyNomiJapan
  3. 3.Nanjing UniversityChina
  4. 4.National Chengchi UniversityTaipeiR.O.C.

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-06605-9
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-06604-2
  • Online ISBN 978-3-319-06605-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site