Krochmal, M. and Husi, H. (2018) Knowledge discovery and data mining. In: Vlahou, A., Mischak, H., Zoidakis, J. and Magni, F. (eds.) Integration of Omics Approaches and Systems Biology for Clinical Applications. Series: Wiley series on mass spectrometry. John Wiley & Sons, Inc.: Hoboken, NJ, pp. 233-247. ISBN 9781119181149 (doi: 10.1002/9781119183952.ch14)
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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.
| Item Type: | Book Sections |
|---|---|
| Status: | Published |
| Glasgow Author(s) Enlighten ID: | Husi, Dr Holger |
| Authors: | Krochmal, M., and Husi, H. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health |
| Journal Name: | Integration of Omics Approaches and Systems Biology for Clinical Applications |
| Publisher: | John Wiley & Sons, Inc. |
| ISBN: | 9781119181149 |
| Published Online: | 26 January 2018 |
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