Linking and Mining Heterogeneous and Multi-view Data

Chapter 1 Multi-View Data Completion

Chapter 2 Multi-View Clustering

Chapter 3 Semi-supervised and Unsupervised Approaches to Record Pairs Classification in Multi-Source Data Linkage

Chapter 4 A Review of Unsupervised and Semi-supervised Blocking Methods for Record Linkage

Chapter 5 Traffic Sensing and Assessing in Digital Transportation Systems

Chapter 6 How Did the Discussion Go: Discourse Act Classification in Social Media Conversations

Chapter 7 Learning from Imbalanced Datasets with Cross-View Cooperation-Based Ensemble Methods

Chapter 9 Clustering Multi-View Data Using Non-negative Matrix Factorization and Manifold Learning for Effective Understanding: A Survey Paper

Chapter 10 Leveraging Heterogeneous Data for Fake News Detection

Chapter 11 General Framework for Multi-View Metric Learning

Chapter 12 On the Evaluation of Community Detection Algorithms on Heterogeneous Social Media Data