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Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

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Cover of 'Interactive Knowledge Discovery and Data Mining in Biomedical Informatics'

Table of Contents

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    Book Overview
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    Chapter 1 Knowledge Discovery and Data Mining in Biomedical Informatics: The Future Is in Integrative, Interactive Machine Learning Solutions
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    Chapter 2 Visual Data Mining: Effective Exploration of the Biological Universe
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    Chapter 3 Darwin or Lamarck? Future Challenges in Evolutionary Algorithms for Knowledge Discovery and Data Mining
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    Chapter 4 On the Generation of Point Cloud Data Sets: Step One in the Knowledge Discovery Process
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    Chapter 5 Adapted Features and Instance Selection for Improving Co-training
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    Chapter 6 Knowledge Discovery and Visualization of Clusters for Erythromycin Related Adverse Events in the FDA Drug Adverse Event Reporting System
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    Chapter 7 Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
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    Chapter 8 A Policy-Based Cleansing and Integration Framework for Labour and Healthcare Data
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    Chapter 9 Interactive Data Exploration Using Pattern Mining
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    Chapter 10 Resources for Studying Statistical Analysis of Biomedical Data and R
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    Chapter 11 A Kernel-Based Framework for Medical Big-Data Analytics
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    Chapter 12 On Entropy-Based Data Mining
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    Chapter 13 Sparse Inverse Covariance Estimation for Graph Representation of Feature Structure
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    Chapter 14 Multi-touch Graph-Based Interaction for Knowledge Discovery on Mobile Devices: State-of-the-Art and Future Challenges
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    Chapter 15 Intelligent Integrative Knowledge Bases: Bridging Genomics, Integrative Biology and Translational Medicine
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    Chapter 16 Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges
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    Chapter 17 Protecting Anonymity in Data-Driven Biomedical Science
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    Chapter 18 Biobanks – A Source of Large Biological Data Sets: Open Problems and Future Challenges
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    Chapter 19 On Topological Data Mining
Attention for Chapter 19: On Topological Data Mining
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Chapter title
On Topological Data Mining
Chapter number 19
Book title
Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
Published by
Springer, Berlin, Heidelberg, January 2014
DOI 10.1007/978-3-662-43968-5_19
Book ISBNs
978-3-66-243967-8, 978-3-66-243968-5

Andreas Holzinger

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 6%
Austria 1 6%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 18%
Student > Doctoral Student 2 12%
Lecturer 2 12%
Other 2 12%
Student > Ph. D. Student 2 12%
Other 4 24%
Unknown 2 12%
Readers by discipline Count As %
Mathematics 5 29%
Computer Science 4 24%
Physics and Astronomy 1 6%
Arts and Humanities 1 6%
Earth and Planetary Sciences 1 6%
Other 2 12%
Unknown 3 18%