Trends and Applications in Knowledge Discovery and Data Mining

Chapter 1 Matching Biomedical Ontologies with Compact Evolutionary Algorithm

Chapter 2 Towards Expert Preference on Academic Article Recommendation Using Bibliometric Networks

Chapter 3 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)

Chapter 4 A Network Approach for Mapping and Classifying Shared Terminologies Between Disparate Literatures in the Social Sciences

Chapter 5 Towards Creating a New Triple Store for Literature-Based Discovery

Chapter 6 Who Is Who in Literature-Based Discovery: Preliminary Analysis

Chapter 7 Adversarial Deep Factorization for Recommender Systems

Chapter 8 Detection of Spammers Using Modified Diffusion Convolution Neural Network

Chapter 9 Dynamics of Online Toxicity in the Asia-Pacific Region

Chapter 10 Predictive K-means with Local Models

Chapter 11 Automatic Detection of Sexist Statements Commonly Used at the Workplace

Chapter 12 Hybrid Dimensionality Reduction Technique for Hyperspectral Images Using Random Projection and Manifold Learning

Chapter 13 Clustering Spatial Data via Mixture Models with Dynamic Weights

Chapter 14 Temporal Convolutional Network Based Transfer Learning for Structural Health Monitoring of Composites

Chapter 15 Dilated Convolutional Recurrent Deep Network with Transfer Learning for Remaining Useful Life Prediction

Chapter 16 Generative Modeling for Synthesis of Cellular Imaging Data for Low-Cost Drug Repurposing Application

Chapter 17 A Study of Game Payment Data Mining: Predicting High-Value Users for MMORPGs