Machine Learning and Knowledge Extraction

Machine Learning and Knowledge Extraction Front Cover
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376 pages

Book Description

This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for and Knowledge Extraction, CD-MAKE 2017, held in Reggio, Italy, in August/September 2017.

The 24 revised full papers presented were carefully reviewed and selected for inclusion in this volume. The papers deal with fundamental questions and theoretical aspects and cover a wide range of topics in the field of machine learning and knowledge extraction. They are organized in the following topical sections: MAKE topology; MAKE smart factory; MAKE privacy; MAKE VIS; MAKE AAL; and MAKE semantics.

Table of Contents

Chapter 1. On Distance Mapping from non-Euclidean Spaces to Euclidean Spaces
Chapter 2. Some Remarks on the Algebraic Properties of Group Invariant Operators in Persistent Homology
Chapter 3. Decentralized Computation of Homology in Wireless Sensor Networks Using Spanning Trees
Chapter 4. Detecting and Ranking API Usage Pattern in Large Source Code Repository: A LFM Based Approach
Chapter 5. Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction
Chapter 6. Online Self-disclosure: From Users' Regrets to Instructional Awareness
Chapter 7. Decision Tree Rule Induction for Detecting Covert Timing Channels in TCP/IP Traffic
Chapter 8. Practical Estimation of Mutual Information on Non-Euclidean Spaces
Chapter 9. IntelliAV: Toward the Feasibility of Building Intelligent Anti-malware on Android Devices
Chapter 10. DO NOT DISTURB? Classifier Behavior on Perturbed Datasets
Chapter 11. On the Challenges and Opportunities in Visualization for Machine Learning and Knowledge Extraction: A Research Agenda
Chapter 12. Quantitative Externalization of Visual Data Analysis Results Using Local Regression Models
Chapter 13. Analysis of Online User Behaviour for Art and Culture Events
Chapter 14. On Joint Representation Learning of Network Structure and Document Content
Chapter 15. Ambient Assisted Living Technologies from the Perspectives of Older People and Professionals
Chapter 16. Human Activity Recognition Using Recurrent Neural Networks
Chapter 17. Modeling Golf Player Skill Using Machine Learning
Chapter 18. Predicting Chronic Heart Failure Using Diagnoses Graphs
Chapter 19. A Declarative Semantics for P2P Systems
Chapter 20. Towards the Automatic Detection of Nutritional Incompatibilities Based on Recipe Titles
Chapter 21. The More the Merrier - Federated Learning from Local Sphere Recommendations