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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 I

  • 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 10937)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10937)

Table of contents

  1. Front Matter
    Pages I-XXVII
  2. Classification and Supervised Machine Learning

    1. Front Matter
      Pages 1-1
    2. Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou
      Pages 16-28
    3. Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
      Pages 29-42
    4. Anusha Kasinikota, P. Balamurugan, Shirish Shevade
      Pages 43-55
    5. Maoquan Wang, Shiyun Chen, Liang He
      Pages 56-67
    6. Mohan Shi, Zhihai Wang, Jidong Yuan, Haiyang Liu
      Pages 68-80
    7. Dengbao Wang, Jingyuan Wang, Fei Hu, Li Li, Xiuzhen Zhang
      Pages 81-93
    8. Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström
      Pages 94-105
    9. Yuwei Huang, Xi Yang, Fuzhen Zhuang, Lishan Zhang, Shengquan Yu
      Pages 118-129
    10. Yan Zhou, Yasmeen Alufaisan, Murat Kantarcioglu
      Pages 130-142
    11. Yao-Yuan Yang, Kuan-Hao Huang, Chih-Wei Chang, Hsuan-Tien Lin
      Pages 143-155
    12. Dalin Zhang, Lina Yao, Sen Wang, Kaixuan Chen, Zheng Yang, Boualem Benatallah
      Pages 156-168
    13. Firat Ismailoglu, Evgueni Smirnov, Ralf Peeters, Shuang Zhou, Pieter Collins
      Pages 169-182
    14. Buru Chang, Hyunjae Kim, Raehyun Kim, Deahan Kim, Jaewoo Kang
      Pages 183-195
    15. Ge Ou, Yan Wang, Lan Huang, Wei Pang, George Macleod Coghill
      Pages 209-220
  3. Healthcare, BioInformatics and Related Topics (Application)

    1. Front Matter
      Pages 221-221
    2. Jianjia Zhang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen
      Pages 223-235
    3. Jingyue Gao, Yasha Wang, Xu Chu, Yuanduo He, Ziqing Mao
      Pages 236-247
    4. Di Zhang, Yunquan Zhang, Qiang Niu, Xingbao Qiu
      Pages 248-260
    5. Yaogong Zhang, Yuan Wang, Jiahui Liu, Xiaohu Liu, Yuxiang Hong, Xin Fan et al.
      Pages 261-272
    6. Masaya Abe, Hideki Nakayama
      Pages 273-284
    7. James Large, E. Kate Kemsley, Nikolaus Wellner, Ian Goodall, Anthony Bagnall
      Pages 298-309
    8. Wanwan Jiang, Lingyu Xu, Jie Yu, Gaowei Zhang
      Pages 310-321
    9. Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh
      Pages 335-347
    10. Xin Fan, Yuxiang Hong, Xiaohu Liu, Yaogong Zhang, Maoqiang Xie
      Pages 348-360
    11. Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Todd Winship
      Pages 373-385
    12. Subhendu Khatuya, Ajay Bakhshi, Jayanta Basak, Niloy Ganguly, Bivas Mitra
      Pages 386-398
    13. Khanh Hung Hoang, Tu Bao Ho
      Pages 411-422
  4. Human, Behaviour and Interactions (Application)

    1. Front Matter
      Pages 423-423
    2. Yihong Zhang, Lina Yao
      Pages 425-436
    3. Prerna Agarwal, Richa Verma, Ayush Agarwal, Tanmoy Chakraborty
      Pages 437-449
    4. Yikai Zhai, Tianyu Wo, Xuelian Lin, Zhou Huang, Junyu Chen
      Pages 462-474
    5. Deepali Jain, Atanu R. Sinha, Deepali Gupta, Nikhil Sheoran, Sopan Khosla
      Pages 475-487
    6. Feng Yi, Libo Yin, Hui Wen, Hongsong Zhu, Limin Sun, Gang Li
      Pages 488-499
    7. Chuandong Yin, Rui Zhang, Jianzhong Qi, Yu Sun, Tenglun Tan
      Pages 500-512
    8. Zhao Zhang, Weizheng Chen, Xiaoxuan Ren, Yan Zhang
      Pages 513-524
    9. Jun Pu, Chuanren Liu, Jianghua Zhao, Ke Han, Yuanchun Zhou
      Pages 525-537
    10. Zhichao Li, Yuping Han, Yajing Xu, Sheng Gao
      Pages 538-548
  5. Anomaly Detection and Analytics

    1. Front Matter
      Pages 549-549
    2. Zhihua Zhu, Di Yao, Jianhui Huang, Hanqiang Li, Jingping Bi
      Pages 551-563
    3. Guilherme O. Campos, Arthur Zimek, Wagner Meira Jr.
      Pages 564-576

Other volumes

  1. Advances in Knowledge Discovery and Data Mining
    22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I
  2. 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/10.1007/978-3-319-93034-3
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-93033-6
  • Online ISBN 978-3-319-93034-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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