Decomposition of Data Mining Algorithms into Unified Functional Blocks
Joint Authors
Shorov, Andrey
Kholod, Ivan
Kupriyanov, Mikhail
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-13
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The present paper describes the method of creating data mining algorithms from unified functional blocks.
This method splits algorithms into independently functioning blocks.
These blocks must have unified interfaces and implement pure functions.
The method allows us to create new data mining algorithms from existing blocks and improves the existing algorithms by optimizing single blocks or the whole structure of the algorithms.
This becomes possible due to a number of important properties inherent in pure functions and hence functional blocks.
American Psychological Association (APA)
Kholod, Ivan& Kupriyanov, Mikhail& Shorov, Andrey. 2016. Decomposition of Data Mining Algorithms into Unified Functional Blocks. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112665
Modern Language Association (MLA)
Kholod, Ivan…[et al.]. Decomposition of Data Mining Algorithms into Unified Functional Blocks. Mathematical Problems in Engineering No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1112665
American Medical Association (AMA)
Kholod, Ivan& Kupriyanov, Mikhail& Shorov, Andrey. Decomposition of Data Mining Algorithms into Unified Functional Blocks. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112665
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112665