Skip to main content
SpringerLink
Log in
Book cover

Trends and Applications in Knowledge Discovery and Data Mining

PAKDD 2019 Workshops, BDM, DLKT, LDRC, PAISI, WeL, Macau, China, April 14–17, 2019, Revised Selected Papers

  • Conference proceedings
  • © 2019
Download book PDF
Download book EPUB

Overview

Editors:
  1. Leong Hou U.

    1. University of Macau, Macao, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Hady W. Lauw

    1. Singapore Management University, Singapore, Singapore

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11607)

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

Included in the following conference series:

Conference proceedings info: PAKDD 2019.

Buy print copy

Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Table of contents (30 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. The 14th Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2019)

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Supporting Tool for IT System Security Specification Evaluation Based on ISO/IEC 15408 and ISO/IEC 18045

      • Da Bao, Yuichi Goto, Jingde Cheng
      Pages 3-14
      Download chapter PDF

    3. An Investigation on Multi View Based User Behavior Towards Spam Detection in Social Networks

      • Darshika Koggalahewa, Yue Xu
      Pages 15-27
      Download chapter PDF

    4. A Cluster Ensemble Strategy for Asian Handicap Betting

      • Yue Chen, Jian Shi
      Pages 28-37
      Download chapter PDF

    5. Designing an Integrated Intelligence Center: New Taipei City Police Department as an Example

      • Chun-Young Chang, Lin-Chien Chien, Yuh-Shyan Hwang
      Pages 38-44
      Download chapter PDF

    6. Early Churn User Classification in Social Networking Service Using Attention-Based Long Short-Term Memory

      • Koya Sato, Mizuki Oka, Kazuhiko Kato
      Pages 45-56
      Download chapter PDF

  3. PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future (WeL 2019)

    1. Front Matter

      Pages 57-57
      Download chapter PDF

    2. Weakly Supervised Learning by a Confusion Matrix of Contexts

      • William Wu
      Pages 59-64
      Download chapter PDF

    3. Learning a Semantic Space for Modeling Images, Tags and Feelings in Cross-Media Search

      • Sadaqat ur Rehman, Yongfeng Huang, Shanshan Tu, Basharat Ahmad
      Pages 65-76
      Download chapter PDF

    4. Adversarial Active Learning in the Presence of Weak and Malicious Oracles

      • Yan Zhou, Murat Kantarcioglu, Bowei Xi
      Pages 77-89
      Download chapter PDF

    5. The Most Related Knowledge First: A Progressive Domain Adaptation Method

      • Yunyun Wang, Dan Zhao, Yun Li, Kejia Chen, Hui Xue
      Pages 90-102
      Download chapter PDF

  4. Learning Data Representation for Clustering (LDRC 2019)

    1. Front Matter

      Pages 103-103
      Download chapter PDF

    2. Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps

      • Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
      Pages 105-116
      Download chapter PDF

    3. Deep Cascade of Extra Trees

      • Abdelkader Berrouachedi, Rakia Jaziri, Gilles Bernard
      Pages 117-129
      Download chapter PDF

    4. Algorithms for an Efficient Tensor Biclustering

      • Dina Faneva Andriantsiory, Mustapha Lebbah, Hanane Azzag, Gael Beck
      Pages 130-138
      Download chapter PDF

    5. Change Point Detection in Periodic Panel Data Using a Mixture-Model-Based Approach

      • Allou Samé, Milad Leyli-Abadi
      Pages 139-150
      Download chapter PDF

  5. The 8th Workshop on Biologically-Inspired Techniques for Knowledge Discovery and Data Mining (BDM 2019)

    1. Front Matter

      Pages 151-151
      Download chapter PDF

    2. Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification

      • Tinglin Huang, Yulin He, Dexin Dai, Wenting Wang, Joshua Zhexue Huang
      Pages 153-163
      Download chapter PDF

    3. Protein Complexes Detection Based on Deep Neural Network

      • Xianchao Zhang, Peixu Gao, Maohua Sun, Linlin Zong, Bo Xu
      Pages 164-178
      Download chapter PDF
Back to top

Other volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

  3. Advances in Knowledge Discovery and Data Mining

  4. Trends and Applications in Knowledge Discovery and Data Mining

Keywords

About this book

This book constitutes the thoroughly refereed post-workshop proceedings of the workshops that were held in conjunction with the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, in Macau, China, in April 2019.

The 31 revised papers presented were carefully reviewed and selected from a total of 52 submissions. They stem from the following workshops:

·         PAISI 2019: 14th Pacific Asia Workshop on Intelligence and Security Informatics

·         WeL 2019: PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future

·         LDRC 2019: PAKDD 2019 Workshop on Learning Data Representation for Clustering

·         BDM 2019: 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining

·         DLKT 2019: 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer

Editors and Affiliations

  • University of Macau, Macao, China

    Leong Hou U.

  • Singapore Management University, Singapore, Singapore

    Hady W. Lauw

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation