↓ Skip to main content

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Overview of attention for book
Cover of 'Interactive Knowledge Discovery and Data Mining in Biomedical Informatics'

Table of Contents

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

Mentioned by

twitter
1 tweeter
facebook
1 Facebook page

Readers on

mendeley
120 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Knowledge Discovery and Data Mining in Biomedical Informatics: The Future Is in Integrative, Interactive Machine Learning Solutions
Chapter number 1
Book title
Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
Published in
Lecture notes in computer science, February 2016
DOI 10.1007/978-3-662-43968-5_1
Book ISBNs
978-3-66-243967-8, 978-3-66-243968-5
Authors

Andreas Holzinger, Igor Jurisica

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Korea, Republic of 1 <1%
Malaysia 1 <1%
Austria 1 <1%
Switzerland 1 <1%
Unknown 114 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 23%
Student > Ph. D. Student 25 21%
Student > Bachelor 13 11%
Researcher 11 9%
Student > Doctoral Student 9 8%
Other 23 19%
Unknown 12 10%
Readers by discipline Count As %
Computer Science 58 48%
Engineering 20 17%
Medicine and Dentistry 8 7%
Mathematics 3 3%
Agricultural and Biological Sciences 2 2%
Other 10 8%
Unknown 19 16%