Book Volume 8401 2014

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

State-of-the-Art and Future Challenges

Editors:

ISBN: 978-3-662-43967-8 (Print) 978-3-662-43968-5 (Online)

Table of contents (19 chapters)

  1. Front Matter

    Pages -

  2. No Access

    Chapter

    Pages 1-18

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

  3. No Access

    Chapter

    Pages 19-33

    Visual Data Mining: Effective Exploration of the Biological Universe

  4. No Access

    Chapter

    Pages 35-56

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

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    Chapter

    Pages 57-80

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

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    Chapter

    Pages 81-100

    Adapted Features and Instance Selection for Improving Co-training

  7. No Access

    Chapter

    Pages 101-116

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

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    Chapter

    Pages 117-140

    On Computationally-Enhanced Visual Analysis of Heterogeneous Data and Its Application in Biomedical Informatics

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    Chapter

    Pages 141-168

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

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    Chapter

    Pages 169-182

    Interactive Data Exploration Using Pattern Mining

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    Chapter

    Pages 183-195

    Resources for Studying Statistical Analysis of Biomedical Data and R

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    Chapter

    Pages 197-208

    A Kernel-Based Framework for Medical Big-Data Analytics

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    Chapter

    Pages 209-226

    On Entropy-Based Data Mining

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    Chapter

    Pages 227-240

    Sparse Inverse Covariance Estimation for Graph Representation of Feature Structure

  15. No Access

    Chapter

    Pages 241-254

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

  16. No Access

    Chapter

    Pages 255-270

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

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    Chapter

    Pages 271-300

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

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    Chapter

    Pages 301-316

    Protecting Anonymity in Data-Driven Biomedical Science

  19. No Access

    Chapter

    Pages 317-330

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

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    Chapter

    Pages 331-356

    On Topological Data Mining

  21. Back Matter

    Pages -