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Trends and Applications in Knowledge Discovery and Data Mining

PAKDD 2020 Workshops, DSFN, GII, BDM, LDRC and LBD, Singapore, May 11–14, 2020, Revised Selected Papers

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Wei Lu

    1. Singapore University of Technology and Design, Singapore, Singapore

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    You can also search for this editor in PubMed   Google Scholar

  2. Kenny Q. Zhu

    1. Shanghai Jiao Tong University, Shanghai, China

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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 12237)

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

Included in the following conference series:

Conference proceedings info: PAKDD 2020.

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Table of contents (17 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. First International Workshop on Literature-Based Discovery (LBD 2020)

    1. Front Matter

      Pages 1-1
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    2. Matching Biomedical Ontologies with Compact Evolutionary Algorithm

      • Xingsi Xue, Pei-Wei Tsai
      Pages 3-10

    3. Towards Expert Preference on Academic Article Recommendation Using Bibliometric Networks

      • Yu Zhang, Min Wang, Morteza Saberi, Elizabeth Chang
      Pages 11-19

    4. Research in Progress: Explaining the Moderating Effect of Massively Multiplayer Online (MMO) Games on the Relationship Between Flow and Game Addiction Using Literature-Based Discovery (LBD)

      • Wendy Hui, Wai Kwong Lau
      Pages 20-29

    5. A Network Approach for Mapping and Classifying Shared Terminologies Between Disparate Literatures in the Social Sciences

      • Cristian Mejia, Yuya Kajikawa
      Pages 30-40

    6. Towards Creating a New Triple Store for Literature-Based Discovery

      • Anna Koroleva, Maria Anisimova, Manuel Gil
      Pages 41-50

    7. Who Is Who in Literature-Based Discovery: Preliminary Analysis

      • Andrej Kastrin, Dimitar Hristovski
      Pages 51-59

  3. Workshop on Data Science for Fake News (DSFN 2020)

    1. Front Matter

      Pages 61-61
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    2. Adversarial Deep Factorization for Recommender Systems

      • Ziqing Chen, Yiwei Zhang, Zongyang Li
      Pages 63-71

    3. Detection of Spammers Using Modified Diffusion Convolution Neural Network

      • Hui Li, Wenxin Liang, Zihan Liao
      Pages 72-79

    4. Dynamics of Online Toxicity in the Asia-Pacific Region

      • Thomas Marcoux, Adewale Obadimu, Nitin Agarwal
      Pages 80-87

  4. Workshop on Learning Data Representation for Clustering (LDRC 2020)

    1. Front Matter

      Pages 89-89
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    2. Predictive K-means with Local Models

      • Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols, Dominique Gay
      Pages 91-103

    3. Automatic Detection of Sexist Statements Commonly Used at the Workplace

      • Dylan Grosz, Patricia Conde-Cespedes
      Pages 104-115

    4. Hybrid Dimensionality Reduction Technique for Hyperspectral Images Using Random Projection and Manifold Learning

      • Alkha Mohan, M. Venkatesan
      Pages 116-127

    5. Clustering Spatial Data via Mixture Models with Dynamic Weights

      • Allou Samé
      Pages 128-138

  5. Ninth Workshop on Biologically Inspired Techniques for Data Mining (BDM 2020)

    1. Front Matter

      Pages 139-139
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    2. Temporal Convolutional Network Based Transfer Learning for Structural Health Monitoring of Composites

      • Shaista Hussain, Luu Trung Pham Duong, Nagarajan Raghavan, Mark Hyunpong Jhon
      Pages 141-152

    3. Dilated Convolutional Recurrent Deep Network with Transfer Learning for Remaining Useful Life Prediction

      • Jing Yang Lee, Ankit K. Das, Shaista Hussain, Yang Feng
      Pages 153-164
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Other volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

  3. 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 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, in Singapore, Singapore, in May 2020.

The 17 revised full papers presented were carefully reviewed and selected from a total of 50 submissions.

The five workshops were as follows:

·         First International Workshop on Literature-Based Discovery (LBD 2020)

  • ·         Workshop on Data Science for Fake News (DSFN 2020)
  • ·         Learning Data Representation for Clustering (LDRC 2020)
  • ·         Ninth Workshop on Biologically Inspired Techniques for Data Mining (BDM
  • ·         2020)
  • ·         First Pacific Asia Workshop on Game Intelligence & Informatics (GII 2020)

 

Editors and Affiliations

  • Singapore University of Technology and Design, Singapore, Singapore

    Wei Lu

  • Shanghai Jiao Tong University, Shanghai, China

    Kenny Q. Zhu

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