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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

Overview

Editors:
  1. Leong Hou U.

    1. University of Macau, Macao, China

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    You can also search for this editor in PubMed   Google Scholar

  2. Hady W. Lauw

    1. Singapore Management University, Singapore, Singapore

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    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.

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Table of contents (30 papers)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
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    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

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

      • Darshika Koggalahewa, Yue Xu
      Pages 15-27

    4. A Cluster Ensemble Strategy for Asian Handicap Betting

      • Yue Chen, Jian Shi
      Pages 28-37

    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

    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

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

    1. Front Matter

      Pages 57-57
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    2. Weakly Supervised Learning by a Confusion Matrix of Contexts

      • William Wu
      Pages 59-64

    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

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

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

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

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

  4. Learning Data Representation for Clustering (LDRC 2019)

    1. Front Matter

      Pages 103-103
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    2. Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps

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

    3. Deep Cascade of Extra Trees

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

    4. Algorithms for an Efficient Tensor Biclustering

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

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

      • Allou Samé, Milad Leyli-Abadi
      Pages 139-150

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

    1. Front Matter

      Pages 151-151
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    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

    3. Protein Complexes Detection Based on Deep Neural Network

      • Xianchao Zhang, Peixu Gao, Maohua Sun, Linlin Zong, Bo Xu
      Pages 164-178
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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

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