Visual Data Mining: Effective Exploration of the Biological Universe

David Otasek; Chiara Pastrello; Andreas Holzinger; Igor Jurisica

doi:10.1007/978-3-662-43968-5_2

Visual Data Mining: Effective Exploration of the Biological Universe

David Otasek, Chiara Pastrello, Andreas Holzinger, Igor Jurisica

Institute of Interactive Systems and Data Science (7060)

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	English
Title of host publication	Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-of-the-Art and Future Challenges. Lecture Notes in Computer Science LNCS 8401
Place of Publication	Heidelberg, Berlin
Publisher	Springer
Pages	19-33
Edition	1
ISBN (Print)	978-3-662-43967-8
DOIs	https://doi.org/10.1007/978-3-662-43968-5_2
Publication status	Published - 2014

Fields of Expertise

Information, Communication & Computing

Treatment code (Nähere Zuordnung)

Basic - Fundamental (Grundlagenforschung)
Experimental

Access to Document

10.1007/978-3-662-43968-5_2

Visual Data Mining Exploring the Biological Universe.pdfFinal published version, 790 KB

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Otasek, D., Pastrello, C., Holzinger, A., & Jurisica, I. (2014). Visual Data Mining: Effective Exploration of the Biological Universe. In Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-of-the-Art and Future Challenges. Lecture Notes in Computer Science LNCS 8401 (1 ed., pp. 19-33). Springer. https://doi.org/10.1007/978-3-662-43968-5_2

Visual Data Mining: Effective Exploration of the Biological Universe. / Otasek, David; Pastrello, Chiara; Holzinger, Andreas et al.
Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-of-the-Art and Future Challenges. Lecture Notes in Computer Science LNCS 8401. 1. ed. Heidelberg, Berlin: Springer, 2014. p. 19-33.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Otasek, D, Pastrello, C, Holzinger, A & Jurisica, I 2014, Visual Data Mining: Effective Exploration of the Biological Universe. in Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-of-the-Art and Future Challenges. Lecture Notes in Computer Science LNCS 8401. 1 edn, Springer, Heidelberg, Berlin, pp. 19-33. https://doi.org/10.1007/978-3-662-43968-5_2

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Visual Data Mining: Effective Exploration of the Biological Universe

Fields of Expertise

Treatment code (Nähere Zuordnung)

Access to Document

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Cite this