Knowledge Discovery and Data Mining in Biomedical Informatics: The Future Is in Integrative, Interactive Machine Learning Solutions -- Visual Data Mining: Effective Exploration of the Biological Universe -- Darwin or Lamarck? Future Challenges in Evolutionary Algorithms for Knowledge Discovery and Data Mining -- On the Generation of Point Cloud Data Sets: Step One in the Knowledge Discovery Process -- Adapted Features and Instance Selection for Improving Co-training -- Knowledge Discovery and Visualization of Clusters for Erythromycin Related Adverse Events in the FDA Drug Adverse Event Reporting System -- On Computationally-Enhanced Visual Analysis of Heterogeneous Data and Its Application in Biomedical Informatics -- A Policy-Based Cleansing and Integration Framework for Labour and Healthcare Data -- Interactive Data Exploration Using Pattern Mining -- Resources for Studying Statistical Analysis of Biomedical Data and R -- A Kernel-Based Framework for Medical Big-Data Analytics -- On Entropy-Based Data Mining -- Sparse Inverse Covariance Estimation for Graph Representation of Feature Structure -- Multi-touch Graph-Based Interaction for Knowledge Discovery on Mobile Devices: State-of-the-Art and Future Challenges -- Intelligent Integrative Knowledge Bases: Bridging Genomics, Integrative Biology and Translational Medicine -- Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges -- Protecting Anonymity in Data-Driven Biomedical Science -- Biobanks – A Source of Large Biological Data Sets: Open Problems and Future Challenges -- On Topological Data Mining.