Knowledge Discovery and Data Mining

Magdalena Krochmal, Holger Husi

Research output: Chapter in Book/Conference proceedingBook Chapterpeer-review

3 Citations (Scopus)

Abstract

Data mining is an interdisciplinary area of computer science combining database systems, statistical and machine learning approaches, and artificial intelligence focused on extraction of patterns and implicit relationships from data. In the era of high-throughput -omics technologies, the amount of scientific data that needs to be analyzed becomes problematic if not supported by powerful computers and sophisticated data mining algorithms, and thus, data mining techniques become increasingly popular among the scientific community. This chapter describes in detail the data mining process with special emphasis on its application in the field of -omics research.

Original languageEnglish
Title of host publicationIntegration of Omics Approaches and Systems Biology for Clinical Applications
Publisherwiley
Pages233-247
Number of pages15
ISBN (Electronic)9781119183952
ISBN (Print)9781119181149
DOIs
Publication statusPublished - 17 Nov 2017
Externally publishedYes

Keywords

  • -omics data mining
  • Classifiers
  • Machine learning
  • Models
  • Prediction
  • Statistics

ASJC Scopus subject areas

  • General Chemistry

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