Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Chapter 1 Knowledge Discovery and Data Mining in Biomedical Informatics: The Future Is in Integrative, Interactive Machine Learning Solutions

Chapter 2 Visual Data Mining: Effective Exploration of the Biological Universe

Chapter 3 Darwin or Lamarck? Future Challenges in Evolutionary Algorithms for Knowledge Discovery and Data Mining

Chapter 4 On the Generation of Point Cloud Data Sets: Step One in the Knowledge Discovery Process

Chapter 5 Adapted Features and Instance Selection for Improving Co-training

Chapter 6 Knowledge Discovery and Visualization of Clusters for Erythromycin Related Adverse Events in the FDA Drug Adverse Event Reporting System

Chapter 7 Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Chapter 8 A Policy-Based Cleansing and Integration Framework for Labour and Healthcare Data

Chapter 10 Resources for Studying Statistical Analysis of Biomedical Data and R

Chapter 11 A Kernel-Based Framework for Medical Big-Data Analytics

Chapter 12 On Entropy-Based Data Mining

Chapter 13 Sparse Inverse Covariance Estimation for Graph Representation of Feature Structure

Chapter 14 Multi-touch Graph-Based Interaction for Knowledge Discovery on Mobile Devices: State-of-the-Art and Future Challenges

Chapter 15 Intelligent Integrative Knowledge Bases: Bridging Genomics, Integrative Biology and Translational Medicine

Chapter 16 Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges

Chapter 17 Protecting Anonymity in Data-Driven Biomedical Science

Chapter 18 Biobanks – A Source of Large Biological Data Sets: Open Problems and Future Challenges

Chapter 19 On Topological Data Mining