Editors:
- Focuses on hot topics from interactive knowledge discovery and data mining in biomedical informatics
- Each paper describes the state-of-the-art and focuses on open problems and future challenges in order to provide a research agenda to stimulate further research and progress
- Written by professionals from diverse areas with various backgrounds who share a common vision: making sense of complex data
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8401)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
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Table of contents (19 chapters)
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Front Matter
About this book
One of the grand challenges in our digital world are the large, complex and often weakly structured data sets, and massive amounts of unstructured information. This “big data” challenge is most evident in biomedical informatics: the trend towards precision medicine has resulted in an explosion in the amount of generated biomedical data sets. Despite the fact that human experts are very good at pattern recognition in dimensions of <= 3; most of the data is high-dimensional, which makes manual analysis often impossible and neither the medical doctor nor the biomedical researcher can memorize all these facts. A synergistic combination of methodologies and approaches of two fields offer ideal conditions towards unraveling these problems: Human–Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human capabilities with machine learning.
This state-of-the-art survey is an output of the HCI-KDD expert network and features 19 carefully selected and reviewed papers related to seven hot and promising research areas: Area 1: Data Integration, Data Pre-processing and Data Mapping; Area 2: Data Mining Algorithms; Area 3: Graph-based Data Mining; Area 4: Entropy-Based Data Mining; Area 5: Topological Data Mining; Area 6 Data Visualization and Area 7: Privacy, Data Protection, Safety and Security.
Editors and Affiliations
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Research Unit Human-Computer Interaction, Austrian IBM Watson Think Gruop, Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
Andreas Holzinger
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IBM Life Sciences Discovery Centre, TECHNA for the Advancement of Technology for Health, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
Igor Jurisica
Bibliographic Information
Book Title: Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
Book Subtitle: State-of-the-Art and Future Challenges
Editors: Andreas Holzinger, Igor Jurisica
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-43968-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Softcover ISBN: 978-3-662-43967-8Published: 26 June 2014
eBook ISBN: 978-3-662-43968-5Published: 17 June 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XX, 357
Number of Illustrations: 56 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Information Storage and Retrieval, Health Informatics