Abstract
In many cases, the meaning of information is wrongly related to either the sense of data or the notion of knowledge. There is a crucial sequence of steps before information becomes knowledge and the value of data depends in the existence of information so as to produce knowledge. The most common method for producing knowledge through data is based on data analysis and primarily in the interpretation of results. This is the way humans make decisions, based on their existing knowledge, and thus using this method, they try to simulate several artificial decision tools. Decision trees (DTs) are such a tool. Their goal is consisted of automatic or semiautomatic big data analysis as well as creating new patterns. DT can be applied in various scientific fields such as bioinformatics. The most commonly used applications of decision trees are data mining and data classification. This study reviews these applications in bioinformatics.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Decision Tree Classifiers in Bioinformatics Inese Polaka, Riga Technical University, Igor Tom, United Institute of Informatics Problems of the National Academy of Sciences of Belarus, Arkady Borisov, Riga Technical University
Yan-yan Song Y (2018) Decision tree methods: applications for classification and prediction. [online] PubMed Central (PMC). Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4466856/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Karalis, G. (2020). Decision Trees and Applications. In: Vlamos, P. (eds) GeNeDis 2018. Advances in Experimental Medicine and Biology, vol 1194. Springer, Cham. https://doi.org/10.1007/978-3-030-32622-7_21
Download citation
DOI: https://doi.org/10.1007/978-3-030-32622-7_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32621-0
Online ISBN: 978-3-030-32622-7
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)