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

Andreas Holzinger; Matthias Dehmer; Igor Jurisica

doi:10.1186/1471-2105-15-S6-I1

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

Andreas Holzinger, Matthias Dehmer, Igor Jurisica

Institute of Interactive Systems and Data Science (7060)

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	1-9
Journal	BMC Bioinformatics
Volume	15
Issue number	6
DOIs	https://doi.org/10.1186/1471-2105-15-S6-I1
Publication status	Published - 2014

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)

Access to Document

10.1186/1471-2105-15-S6-I1Licence: CC BY-ND 4.0

Cite this

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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.",

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AU - Dehmer, Matthias

AU - Jurisica, Igor

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AB - 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.

KW - Machine Learning

KW - Health Informatics

KW - Knowledge Discovery

U2 - 10.1186/1471-2105-15-S6-I1

DO - 10.1186/1471-2105-15-S6-I1

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EP - 9

JO - BMC Bioinformatics

JF - BMC Bioinformatics

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

Abstract

Keywords

ASJC Scopus subject areas

Fields of Expertise

Treatment code (Nähere Zuordnung)

Access to Document

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Cite this