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)

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

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
  • About this book