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Advances in Knowledge Discovery and Data Mining

21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I

  • Jinho Kim
  • Kyuseok Shim
  • Longbing Cao
  • Jae-Gil Lee
  • Xuemin Lin
  • Yang-Sae Moon

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10234)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10234)

Table of contents

  1. Front Matter
    Pages I-XXXII
  2. Classification and Deep Learning

    1. Front Matter
      Pages 1-1
    2. Yutaro Shigeto, Masashi Shimbo, Yuji Matsumoto
      Pages 17-29
    3. Harris Partaourides, Sotirios P. Chatzis
      Pages 30-41
    4. Ali Anaissi, Nguyen Lu Dang Khoa, Samir Mustapha, Mehrisadat Makki Alamdari, Ali Braytee, Yang Wang et al.
      Pages 42-57
    5. Hao-En Sung, Cheng-Kuan Chen, Han Xiao, Shou-De Lin
      Pages 58-69
    6. Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara, Kazune Furudo
      Pages 83-95
    7. Mirka Saarela, Joonas Hämäläinen, Tommi Kärkkäinen
      Pages 96-109
    8. Clement Gautrais, René Quiniou, Peggy Cellier, Thomas Guyet, Alexandre Termier
      Pages 110-121
    9. Ruolin Jia, Yun Sing Koh, Gillian Dobbie
      Pages 122-134
    10. Minoru Yoshida, Kazuyuki Matsumoto, Kenji Kita
      Pages 135-146
    11. Katsufumi Tomobe, Masafumi Oyamada, Shinji Nakadai
      Pages 147-159
    12. Yuki Endo, Kyosuke Nishida, Hiroyuki Toda, Hiroshi Sawada
      Pages 160-172
    13. Tanya Goyal, Sanket Mehta, Balaji Vasan Srinivasan
      Pages 173-185
    14. Hanh T. H. Nguyen, Martin Wistuba, Josif Grabocka, Lucas Rego Drumond, Lars Schmidt-Thieme
      Pages 186-197
    15. Nina Hubig, Claudia Plant
      Pages 198-209
  3. Social Network and Graph Mining

    1. Front Matter
      Pages 223-223
    2. Reihaneh Rabbany, Dhivya Eswaran, Artur W. Dubrawski, Christos Faloutsos
      Pages 225-237
    3. Weizheng Chen, Jinpeng Wang, Zhuoxuan Jiang, Yan Zhang, Xiaoming Li
      Pages 238-250
    4. Longfei Shi, Bin Wu, Jing Zheng, Chuan Shi, Mengxin Li
      Pages 266-277
    5. Balaji Vasan Srinivasan, Noman Ahmed Sheikh, Roshan Kumar, Saurabh Verma, Niloy Ganguly
      Pages 278-290
    6. Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou
      Pages 291-303
    7. Yuyan Zheng, Chuan Shi, Xiaohuan Cao, Xiaoli Li, Bin Wu
      Pages 317-329
    8. Tanmoy Chakraborty, Des Chandhok, V. S. Subrahmanian
      Pages 343-355
    9. Qun Liao, ShuangShuang Jiang, Min Yu, Yulu Yang, Tao Li
      Pages 356-367
    10. Zhichao Huang, Yunming Ye, Xutao Li, Feng Liu, Huajie Chen
      Pages 368-380
    11. Xiao Zhang, Wenzhong Li, Hong Huang, Cam-Tu Nguyen, Xu Chen, Xiaoliang Wang et al.
      Pages 381-394
    12. Mohammad Ebrahimi, Elaheh ShafieiBavani, Raymond Wong, Fang Chen
      Pages 395-406
    13. Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng
      Pages 434-446
    14. Tung Doan, Khoat Than
      Pages 447-459
    15. Gunarto Sindoro Njoo, Min-Chia Kao, Kuo-Wei Hsu, Wen-Chih Peng
      Pages 460-471
    16. Anup Naik, Hideyuki Maeda, Vibhor Kanojia, Sumio Fujita
      Pages 472-485
    17. Mingxin Liang, Chao Gao, Xianghua Li, Zili Zhang
      Pages 486-498
    18. Yuqiang Han, Yao Wan, Liang Chen, Guandong Xu, Jian Wu
      Pages 499-510
    19. Ankit Sharma, Terrence J. Moore, Ananthram Swami, Jaideep Srivastava
      Pages 511-523
    20. Chi Lu, Heyan Huang, Ping Jian, Dan Wang, Yi-Di Guo
      Pages 524-533
    21. Vladimir Dzyuba, Matthijs van Leeuwen
      Pages 534-546
    22. Weizheng Chen, Xianling Mao, Xiangyu Li, Yan Zhang, Xiaoming Li
      Pages 547-560
    23. Yichen Hu, Qing Wang, Dinusha Vatsalan, Peter Christen
      Pages 561-573
    24. Yue Ding, Ling Huang, Chang-Dong Wang, Dong Huang
      Pages 574-585
    25. Mohamed Chebel, Chiraz Latiri, Eric Gaussier
      Pages 586-598
    26. Fengjiao Wang, Chun-Ta Lu, Yongzhi Qu, Philip S. Yu
      Pages 599-611

Other volumes

  1. Advances in Knowledge Discovery and Data Mining
    21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I
  2. 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II
  3. PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM Jeju, South Korea, May 23, 2017, Revised Selected Papers

About these proceedings

Introduction

This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017.

The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.

Keywords

crowdsourcing recommender systems security statistical methods for data mining Web mining anomaly detection classification clustering data mining decision trees deep learning dynamic networks feature extraction genetic algorithm high performance data mining intrusion detection knowledge-base machine learning theoretic foundations visual data mining

Editors and affiliations

  1. 1.Kangwon National UniversityChuncheonKorea (Republic of)
  2. 2.Seoul National UniversitySeoulKorea (Republic of)
  3. 3.University of Technology SydneySydneyAustralia
  4. 4.KAISTDaejeonKorea (Republic of)
  5. 5.University of New South WalesSydneyAustralia
  6. 6.Kangwon National UniversityChuncheonKorea (Republic of)

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-57454-7
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-57453-0
  • Online ISBN 978-3-319-57454-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site