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Advances in Knowledge Discovery and Data Mining

23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III

  • Qiang Yang
  • Zhi-Hua Zhou
  • Zhiguo Gong
  • Min-Ling Zhang
  • Sheng-Jun Huang
Conference proceedings PAKDD 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11441)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11441)

Table of contents

  1. Front Matter
    Pages i-xxviii
  2. Representation Learning and Embedding

    1. Front Matter
      Pages 1-1
    2. Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu
      Pages 3-14
    3. Quanyu Dai, Qiang Li, Liang Zhang, Dan Wang
      Pages 27-39
    4. Wei Fan, Huan Liu, Suge Wang, Yuxiang Zhang, Yaocheng Chang
      Pages 54-67
    5. Tiehang Duan, Qi Lou, Sargur N. Srihari, Xiaohui Xie
      Pages 68-80
    6. Chunyu Lu, Pengfei Jiao, Hongtao Liu, Yaping Wang, Hongyan Xu, Wenjun Wang
      Pages 81-93
    7. Ayan Kumar Bhowmick, Koushik Meneni, Bivas Mitra
      Pages 94-106
    8. Ran Wang, Yang Song, Xin-yu Dai
      Pages 107-118
    9. Run-kun Lu, Jian-wei Liu, Yuan-fang Wang, Hao-jie Xie, Xin Zuo
      Pages 119-130
    10. Lan-Zhe Guo, Tao Han, Yu-Feng Li
      Pages 131-143
    11. Macario O. Cordel II, Arnulfo P. Azcarraga
      Pages 144-155
    12. Danhao Zhu, Xin-yu Dai, Kaijia Yang, Jiajun Chen, Yong He
      Pages 156-168
    13. Guolei Sun, Xiangliang Zhang
      Pages 169-182
  3. Mining Unstructured and Semi-structured Data

    1. Front Matter
      Pages 183-183
    2. Kun Zhang, Guangyi Lv, Enhong Chen, Le Wu, Qi Liu, C. L. Philip Chen
      Pages 185-198
    3. Heng-Yi Li, Ming Li, Zhi-Hua Zhou
      Pages 212-224
    4. Wei Wang, Hai-Tao Zheng, Hao Liu
      Pages 225-236
    5. Haiming Chen, Yeting Li, Chunmei Dong, Xinyu Chu, Xiaoying Mou, Weidong Min
      Pages 249-261
    6. Imrul Chowdhury Anindya, Murat Kantarcioglu, Bradley Malin
      Pages 262-274
  4. Behavioral Data Mining

    1. Front Matter
      Pages 275-275
    2. Yiping Jin, Dittaya Wanvarie, Phu T. V. Le
      Pages 277-288
    3. Qiang Cui, Yuyuan Tang, Shu Wu, Liang Wang
      Pages 289-301
    4. Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das
      Pages 327-345
    5. Khoa D. Doan, Guolei Yang, Chandan K. Reddy
      Pages 346-358
    6. Ankur Garg, Aman Kharb, Yash H. Malviya, J. P. Sagar, Atanu R. Sinha, Iftikhar Ahamath Burhanuddin et al.
      Pages 359-371
  5. Visual Data Mining

    1. Front Matter
      Pages 373-373
    2. Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
      Pages 387-399
    3. Ziwei Xie, Hailun Xia, Chunyan Feng
      Pages 400-411
    4. Guangyi Lv, Tong Xu, Qi Liu, Enhong Chen, Weidong He, Mingxiao An et al.
      Pages 412-424
    5. Pengfei Zhu, Wenya Ma, Qinghua Hu
      Pages 425-435
    6. Xiaobo Zhang, Yan Yang, Tianrui Li, Hao Wang, Ziqing He
      Pages 449-460
  6. Knowledge Graph and Interpretable Data Mining

    1. Front Matter
      Pages 461-461
    2. Sahar Behzadi, Kateřina Hlaváčková-Schindler, Claudia Plant
      Pages 463-475
    3. Jun Yuan, Neng Gao, Ji Xiang, Chenyang Tu, Jingquan Ge
      Pages 476-488
    4. Pouya Ghiasnezhad Omran, Zhe Wang, Kewen Wang
      Pages 489-500
    5. Yi Zhang, Zhijuan Du, Xiaofeng Meng
      Pages 514-527
    6. Yin Zhang, Ninghao Liu, Shuiwang Ji, James Caverlee, Xia Hu
      Pages 528-540
  7. Back Matter
    Pages 555-556

Other volumes

  1. 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I
  2. 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II
  3. Advances in Knowledge Discovery and Data Mining
    23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III

About these proceedings

Introduction

The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019.

The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and feature
selection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.

Keywords

anomaly detection artificial intelligence clustering algorithms computational linguistics computer crime data cleaning data mining data security image processing image reconstruction learning algorithms machine learning neural networks recommender systems semantics signal processing social networking supervised learning Support Vector Machines (SVM) World Wide Web

Editors and affiliations

  • Qiang Yang
    • 1
  • Zhi-Hua Zhou
    • 2
  • Zhiguo Gong
    • 3
  • Min-Ling Zhang
    • 4
  • Sheng-Jun Huang
    • 5
  1. 1.Hong Kong University of Science and TechnologyHong KongChina
  2. 2.Nanjing UniversityNanjingChina
  3. 3.University of MacauTaipa, MacauChina
  4. 4.Southeast UniversityNanjingChina
  5. 5.Nanjing University of Aeronautics and AstronauticsNanjingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-16142-2
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-16141-5
  • Online ISBN 978-3-030-16142-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site