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

195 Pages·2020·17.332 MB·English

by  Wei Lu, Kenny Q. Zhu

Wei Lu
Kenny Q. Zhu (Eds.)
Trends and Applications
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PAKDD 2020 Workshops
DSFN, GII, BDM, LDRC and LBD
Singapore, May 11–14, 2020
Revised Selected Papers
123
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Lecture Notes in Arti cial Intelligence 12237
Subseries of Lecture Notes in Computer Science
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University of Alberta, Edmonton, Canada
Yuzuru Tanaka
Hokkaido University, Sapporo, Japan
Wolfgang Wahlster
DFKI and Saarland University, Saarbrücken, Germany
Founding Editor
Jörg Siekmann
DFKI and Saarland University, Saarbrücken, Germany
More information about this series at http://www.springer.com/series/1244
Wei Lu Kenny Q. Zhu (Eds.)
(cid:129)
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
123
Editors
Wei Lu Kenny Q.Zhu
Singapore University of Technology ShanghaiJiao Tong University
andDesign Shanghai, China
Singapore, Singapore
ISSN 0302-9743 ISSN 1611-3349 (electronic)
Lecture Notesin Artificial Intelligence
ISBN 978-3-030-60469-1 ISBN978-3-030-60470-7 (eBook)
https://doi.org/10.1007/978-3-030-60470-7
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Preface
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is
oneofthelongestestablishedandleadinginternationalconferencesintheareasofdata
miningandknowledgediscovery.Itprovidesaninternationalforumforresearchersand
industry practitioners to share their 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.
PAKDD 2020 was held online, during May 11–14, 2020.
Along with the main conference, PAKDD workshops intend to provide an inter-
nationalforumforresearcherstodiscussandshareresearchresults.Afterreviewingthe
workshop proposals, we were able to accept five workshops that covered topics in
literature-based discovery, data science for fake news, data representation for cluster-
ing, biologically inspired techniques, and game intelligence and informatics. The
diversity of topics in these workshops contributed to the main themes of the confer-
ence.Theseworkshopswereabletoaccept17fullpapersthatwerecarefullyreviewed
from 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)
– NinthWorkshoponBiologicallyInspiredTechniquesforDataMining(BDM2020)
– First Pacific Asia Workshop on Game Intelligence & Informatics (GII 2020)
May 2020 Wei Lu
Kenny Q. Zhu
Organization
Workshop Co-chairs
Wei Lu Singapore University of Technology and Design,
Singapore
Kenny Q. Zhu Shanghai Jiao Tong University, China
First International Workshop on Literature-Based Discovery
(LBD 2020)
Organizers
Neil R. Smalheiser University of Illinois at Chicago, USA
Yakub Sebastian Charles Darwin University, Australia
Workshop on Data Science for Fake News (DSFN 2020)
Organizers
Tanmoy Chakraborty IndraprasthaInstituteofInformationTechnology,India
Deepak P Queen’s University Belfast, UK
Cheng Long Nanyang Technological University, Singapore
Santhosh Kumar G. Cochin University of Science and Technology, India
Hridoy Sankar Dutta IndraprasthaInstituteofInformationTechnology,India
Workshop on Learning Data Representation for Clustering
(LDRC 2020)
Organizers
Lazhar Labiod University of Paris, France
Mohamed Nadif University of Paris, France
Allou Same l’Institut français des sciences et technologies des
transports,del’aménagementetdesréseaux,France
Ninth Workshop on Biologically Inspired Techniques
for Data Mining (BDM 2020)
Organizers
Shafiq Alam The University of Auckland, New Zealand
Gillian Dobbie The University of Auckland, New Zealand
viii Organization
First Pacific Asia Workshop on Game Intelligence
and Informatics (GII 2020)
Organizers
Sharanya Eswaran Games24x7, India
Magy Seif El-Nasr Northeastern University, USA
Tridib Mukherjee Games24x7, India
Contents
First International Workshop on Literature-Based Discovery
(LBD 2020)
Matching Biomedical Ontologies with Compact Evolutionary Algorithm . . . . 3
Xingsi Xue and Pei-Wei Tsai
Towards Expert Preference on Academic Article Recommendation
Using Bibliometric Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Yu Zhang, Min Wang, Morteza Saberi, and Elizabeth Chang
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). . . . . . . . . . . 20
Wendy Hui and Wai Kwong Lau
A Network Approach for Mapping and Classifying Shared Terminologies
Between Disparate Literatures in the Social Sciences. . . . . . . . . . . . . . . . . . 30
Cristian Mejia and Yuya Kajikawa
Towards Creating a New Triple Store for Literature-Based Discovery . . . . . . 41
Anna Koroleva, Maria Anisimova, and Manuel Gil
Who Is Who in Literature-Based Discovery: Preliminary Analysis. . . . . . . . . 51
Andrej Kastrin and Dimitar Hristovski
Workshop on Data Science for Fake News (DSFN 2020)
Adversarial Deep Factorization for Recommender Systems. . . . . . . . . . . . . . 63
Ziqing Chen, Yiwei Zhang, and Zongyang Li
Detection of Spammers Using Modified Diffusion Convolution Neural
Network. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72
Hui Li, Wenxin Liang, and Zihan Liao
Dynamics of Online Toxicity in the Asia-Pacific Region . . . . . . . . . . . . . . . 80
Thomas Marcoux, Adewale Obadimu, and Nitin Agarwal
Workshop on Learning Data Representation for Clustering
(LDRC 2020)
Predictive K-means with Local Models . . . . . . . . . . . . . . . . . . . . . . . . . . . 91
Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols,
and Dominique Gay
x Contents
Automatic Detection of Sexist Statements Commonly Used
at the Workplace. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104
Dylan Grosz and Patricia Conde-Cespedes
Hybrid Dimensionality Reduction Technique for Hyperspectral Images
Using Random Projection and Manifold Learning. . . . . . . . . . . . . . . . . . . . 116
Alkha Mohan and M. Venkatesan
Clustering Spatial Data via Mixture Models with Dynamic Weights . . . . . . . 128
Allou Samé
Ninth Workshop on Biologically Inspired Techniques for Data
Mining (BDM 2020)
Temporal Convolutional Network Based Transfer Learning for Structural
Health Monitoring of Composites . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141
Shaista Hussain, Luu Trung Pham Duong, Nagarajan Raghavan,
and Mark Hyunpong Jhon
Dilated Convolutional Recurrent Deep Network with Transfer Learning
for Remaining Useful Life Prediction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153
Jing Yang Lee, Ankit K. Das, Shaista Hussain, and Yang Feng
Generative Modelingfor SynthesisofCellularImaging Datafor Low-Cost
Drug Repurposing Application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165
Shaista Hussain, Ayesha Anees, Ankit K. Das, Binh P. Nguyen,
Mardiana Marzuki, Shuping Lin, Graham Wright, and Amit Singhal
First Pacific Asia Workshop on Game Intelligence and Informatics
(GII 2020)
A Study of Game Payment Data Mining: Predicting High-Value Users
for MMORPGs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181
Junxiang Jiang
Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193