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Advances in Knowledge Discovery and Data Mining

22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II

  • Dinh Phung
  • Vincent S. Tseng
  • Geoffrey I. Webb
  • Bao Ho
  • Mohadeseh Ganji
  • Lida Rashidi
Conference proceedings PAKDD 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10938)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10938)

Table of contents

  1. Front Matter
    Pages I-XXVII
  2. Graphical Models, Latent Variables and Statistical Methods

    1. Front Matter
      Pages 1-1
    2. Hengpeng Xu, Jinmao Wei, Zhenglu Yang, Jianhua Ruan, Jun Wang
      Pages 3-15
    3. Xin Huang, Chang-an Chen, Changhuan Peng, Xudong Wu, Luoyi Fu, Xinbing Wang
      Pages 16-28
    4. Qian Hu, Huzefa Rangwala
      Pages 29-41
    5. Rob Churchill, Lisa Singh, Christo Kirov
      Pages 42-53
    6. Shifeng Liu, Yifang Sun, Wei Wang, Xiaoling Zhou
      Pages 54-66
    7. Thomas Rebele, Katerina Tzompanaki, Fabian M. Suchanek
      Pages 67-79
    8. Sandya Mannarswamy, Saravanan Chidambaram
      Pages 104-114
    9. Chen Zhao, Kohei Watanabe, Bin Yang, Yu Hirate
      Pages 115-127
    10. Yuan Jin, Lan Du, Ye Zhu, Mark Carman
      Pages 128-140
    11. Mengya Wang, Erhu Rong, Hankui Zhuo, Huiling Zhu
      Pages 141-153
  3. Representation Learning and Embedding

    1. Front Matter
      Pages 155-155
    2. Mohammad Raihanul Islam, B. Aditya Prakash, Naren Ramakrishnan
      Pages 157-169
    3. Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash
      Pages 170-182
    4. Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
      Pages 183-195
    5. Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
      Pages 196-208
    6. Yang Yang, De-Chuan Zhan, Yi-Feng Wu, Yuan Jiang
      Pages 209-221
    7. Zili Zhou, Shaowu Liu, Guandong Xu, Xing Xie, Jun Yin, Yidong Li et al.
      Pages 222-234
    8. Depeng Xu, Shuhan Yuan, Xintao Wu, HaiNhat Phan
      Pages 235-246
    9. Xiao Han, Chunhong Zhang, Chenchen Guo, Yang Ji
      Pages 247-259
  4. Semi-structured Data and NLP

    1. Front Matter
      Pages 273-273
    2. Jiangtao Zhang, Juanzi Li, Shuai Wang, Yan Zhang, Yixin Cao, Lei Hou et al.
      Pages 275-287
    3. Xiaohuan Cao, Chuan Shi, Yuyan Zheng, Jiayu Ding, Xiaoli Li, Bin Wu
      Pages 288-299
    4. Bilih Priyogi, Mark Sanderson, Flora Salim, Jeffrey Chan, Martin Tomko, Yongli Ren
      Pages 300-311
    5. Abhilasha Sancheti, Paridhi Maheshwari, Rajat Chaturvedi, Anish V. Monsy, Tanya Goyal, Balaji Vasan Srinivasan
      Pages 312-324
    6. Khaled Albishre, Yuefeng Li, Yue Xu
      Pages 325-336
    7. Saurav Manchanda, George Karypis
      Pages 337-349
    8. Jingyu Shao, Qing Wang
      Pages 350-362
    9. Ismini Lourentzou, Alfredo Alba, Anni Coden, Anna Lisa Gentile, Daniel Gruhl, Steve Welch
      Pages 363-375
    10. Kang-Min Kim, Aliyeva Dinara, Byung-Ju Choi, SangKeun Lee
      Pages 376-388
    11. Xiaolan Zhang, Yeting Li, Fanlin Cui, Chunmei Dong, Haiming Chen
      Pages 389-401
  5. Spatial-Temporal, Time-Series and Stream Mining

    1. Front Matter
      Pages 403-403
    2. Xiaoting Jiang, Yanyan Shen, Yanmin Zhu
      Pages 418-430
    3. Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li
      Pages 431-443
    4. Elham Naghizade, Jeffrey Chan, Yongli Ren, Martin Tomko
      Pages 444-457
    5. Erik Scharwächter, Fabian Geier, Lukas Faber, Emmanuel Müller
      Pages 458-470
    6. Mingxuan Yue, Liyue Fan, Cyrus Shahabi
      Pages 471-482
    7. Z. Tari, A. Thompson, N. Almusalam, P. Bertok, A. Mahmood
      Pages 483-494
    8. Naif Almusallam, Zahir Tari, Jeffrey Chan, Adil AlHarthi
      Pages 495-507
    9. Milad Chenaghlou, Masud Moshtaghi, Christopher Leckie, Mahsa Salehi
      Pages 508-521
    10. Hang Yu, Jie Lu, Guangquan Zhang
      Pages 522-533
    11. Zafar Saeed, Rabeeh Ayaz Abbasi, Abida Sadaf, Muhammad Imran Razzak, Guandong Xu
      Pages 534-545
    12. Pantelis Chronis, Giorgos Giannopoulos, Spiros Athanasiou, Spiros Skiadopoulos
      Pages 558-570

Other volumes

  1. 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I
  2. Advances in Knowledge Discovery and Data Mining
    22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II
  3. 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III
  4. PAKDD 2018 Workshops, BDASC, BDM, ML4Cyber, PAISI, DaMEMO, Melbourne, VIC, Australia, June 3, 2018, Revised Selected Papers

About these proceedings

Introduction

This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018.

The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on 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.

 


Keywords

Artificial intelligence Classification Classification accuracy Clustering Computer crime Computer networks Data mining Data security Information retrieval Internet Learning algorithms Machine learning Natural language processing systems Neural networks Pattern recognition Semantics Signal processing Social networks Support Vector Machines

Editors and affiliations

  1. 1.Deakin UniversityGeelongAustralia
  2. 2.National Chiao Tung UniversityHsinchu CityTaiwan
  3. 3.Monash UniversityClaytonAustralia
  4. 4.Japan Advanced Institute of Science and TechnologyNomiJapan
  5. 5.University of MelbourneMelbourneAustralia
  6. 6.University of MelbourneMelbourneAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-93037-4
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-93036-7
  • Online ISBN 978-3-319-93037-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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