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E-raamat: 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

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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 PapersSuurem pilt
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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)

 

First International Workshop on Literature-Based Discovery (LBD 2020)
Matching Biomedical Ontologies with Compact Evolutionary Algorithm
3(8)
Xingsi Xue
Pei-Wei Tsui
Towards Expert Preference on Academic Article Recommendation Using Bibliometric Networks
11(9)
Yu Zhang
Min Wang
Morteza Saberi
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(10)
Wendy Hui
Wai Kwong Lau
A Network Approach for Mapping and Classifying Shared Terminologies Between Disparate Literatures in the Social Sciences
30(11)
Cristian Mejia
Yuya Kajikawa
Towards Creating a New Triple Store for Literature-Based Discovery
41(10)
Anna Koroleva
Maria Anisimova
Manuel Gil
Who Is Who in Literature-Based Discovery: Preliminary Analysis
51(12)
Andrej Kastrin
Dimitar Hristovski
Workshop on Data Science for Fake News (DSFN 2020)
Adversarial Deep Factorization for Recommender Systems
63(9)
Ziqing Chen
Yiwei Zhang
Zongyang Li
Detection of Spammers Using Modified Diffusion Convolution Neural Network
72(8)
Hui Li
Wenxin Liang
Zihan Liao
Dynamics of Online Toxicity in the Asia-Pacific Region
80(11)
Thomas Marcoux
Adewale Ohadimu
Nitin Agarwal
Workshop on Learning Data Representation for Clustering (LDRC 2020)
Predictive K-means with Local Models
91(13)
Vincent Lemaire
Oumaima Alaoui Ismaili
Antoine Cornuejols
Dominique Gay
Automatic Detection of Sexist Statements Commonly Used at the Workplace
104(12)
Dylan Grosz
Patricia Conde-Cespedes
Hybrid Dimensionality Reduction Technique for Hyperspectral Images Using Random Projection and Manifold Learning
116(12)
Alkha Mohan
M. Venkatesan
Clustering Spatial Data via Mixture Models with Dynamic Weights
128(13)
Allou Same
Ninth Workshop on Biologically Inspired Techniques for Data Mining (BDM 2020)
Temporal Convolutional Network Based Transfer Learning for Structural Health Monitoring of Composites
141(12)
Shaista Hussain
Luu Trung Pham Duong
Nagarajan Raghavan
Mark Hyunpong Jhon
Dilated Convolutional Recurrent Deep Network with Transfer Learning for Remaining Useful Life Prediction
153(12)
Jing Yang Lee
Ankit K. Das
Shaista Hussain
Yang Feng
Generative Modeling for Synthesis of Cellular Imaging Data for Low-Cost Drug Repurposing Application
165(16)
Shaista Hussain
Ayesha Anees
Ankit K. Das
Binh P. Nguyen
Mardiana Marzuki
Shuping Lin
Graham Wright
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(12)
Junxiang Jiang
Author Index 193
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