Knowledge Discovery and interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges and research directions

Andreas Holzinger, Matthias Dehmer, Igor Jurisica

Research output: Contribution to journalArticle

Abstract

The life sciences, biomedicine and health care are increasingly turning into a data intensive science [2, 3, 4]. Particularly in bioinformatics and computational biology we face not only increased volume and a diversity of highly complex, multi-dimensional and often weakly-structured and noisy data, but also the growing need for integrative analysis and modeling.
LanguageEnglish
Pages1-9
JournalBMC Bioinformatics
Volume15
Issue number6
DOIs
StatusPublished - 2014

Fingerprint

Data Mining
Life sciences
Computational Biology
Noisy Data
Knowledge Discovery
Bioinformatics
Health care
Healthcare
Data mining
Biological Science Disciplines
Modeling
Research
Delivery of Health Care
Direction compound

Keywords

  • Machine Learning
  • Health Informatics
  • Knowledge Discovery

ASJC Scopus subject areas

  • Artificial Intelligence

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)

Cite this

Knowledge Discovery and interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges and research directions. / Holzinger, Andreas; Dehmer, Matthias; Jurisica, Igor.

In: BMC Bioinformatics , Vol. 15, No. 6, 2014, p. 1-9.

Research output: Contribution to journalArticle

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