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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

  • Conference proceedings
  • © 2018


Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10937)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PAKDD 2018.

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About this book

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.


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Table of contents (54 papers)

  1. Classification and Supervised Machine Learning

  2. Healthcare, BioInformatics and Related Topics (Application)

Editors and Affiliations

  • Deakin University, Geelong, Australia

    Dinh Phung

  • National Chiao Tung University, Hsinchu City, Taiwan

    Vincent S. Tseng

  • Monash University, Clayton, Australia

    Geoffrey I. Webb

  • Japan Advanced Institute of Science and Technology, Nomi, Japan

    Bao Ho

  • University of Melbourne, Melbourne, Australia

    Mohadeseh Ganji, Lida Rashidi

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