Linking and mining heterogeneous and multi-view data - Jurek-Loughrey, Anna; P, Deepak; SpringerLink (Online service). (Cham Springer, 2019)
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. Entity Linking in Enterprise Search: Combining Textual and Structural Information -- Chapter 8. Clustering Multi-view Data Using Non-negative Matrix Factorization and Manifold Learning for Effective Understanding: A Survey Paper -- Chapter 9. Leveraging Heterogeneous Data for Fake News Detection -- Chapter 10. On the Evaluation of Community Detection Algorithms on Heterogeneous Social Media Data -- Chapter 11. General Framework for Multi-View Metric Learning -- Chapter 12. Learning from imbalanced datasets with cross-view cooperation-based ensemble methods.
Electronic reproduction.
Keywords: Artificial intelligence; Data mining; Electrical engineering; Image processing; Pattern recognition; Signal processing; Speech processing systems; Electronic books