Advances in Knowledge Discovery and Data Mining

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

  • 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 10235)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10235)

Table of contents

  1. Front Matter
    Pages I-XXXII
  2. Clustering and Anomaly Detection

    1. Front Matter
      Pages 1-1
    2. Fei Li, Meishan Zhang, Guohong Fu, Donghong Ji
      Pages 15-26
    3. Abdelkader Baggag, Halima Bensmail, Jaideep Srivastava
      Pages 27-38
    4. Weihao Cheng, Sarah Erfani, Rui Zhang, Ramamohanarao Kotagiri
      Pages 39-50
    5. Biru Cui, Shanchieh Jay Yang, Christophan M. Homan
      Pages 51-63
    6. Shuang Ao, Xiang Li, Charles X. Ling
      Pages 64-75
  3. Recommender Systems

    1. Front Matter
      Pages 89-89
    2. Fei Yu, Nan Che, Zhijun Li, Kai Li, Shouxu Jiang
      Pages 91-105
    3. Yan Chen, Margot Lisa-Jing Yann, Heidar Davoudi, Joy Choi, Aijun An, Zhen Mei
      Pages 106-118
    4. Yonghong Yu, Hao Wang, Shuanzhu Sun, Yang Gao
      Pages 119-130
    5. Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S. Yu
      Pages 131-143
    6. Natwar Modani, Deepali Jain, Ujjawal Soni, Gaurav Kumar Gupta, Palak Agarwal
      Pages 144-155
    7. Huimin Lv, Fang Fang, Yishi Zhao, Yuanyuan Liu, Zhongwen Luo
      Pages 156-167
  4. Feature Selection

    1. Front Matter
      Pages 181-181
    2. Shuhan Yuan, Xintao Wu, Yang Xiang
      Pages 183-195
    3. Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle
      Pages 196-207

Other volumes

  1. 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I
  2. Advances in Knowledge Discovery and Data Mining
    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/10.1007/978-3-319-57529-2
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-57528-5
  • Online ISBN 978-3-319-57529-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book