Modelling and Data Analysis
2022. Vol. 12, no. 2, 103–109
doi:10.17759/mda.2022120205
ISSN: 2219-3758 / 2311-9454 (online)
Using a Self-Learning Algorithm with Elements of Artificial Intelligence Based on Markov Chains to Correct the Semantic Core
Abstract
General Information
Keywords: semantic core, Markov chains, key phrases, artificial intelligence
Journal rubric: Short Messages
Article type: scientific article
DOI: https://doi.org/10.17759/mda.2022120205
Received: 03.06.2022
Accepted:
For citation: kolotovkin I.S. Using a Self-Learning Algorithm with Elements of Artificial Intelligence Based on Markov Chains to Correct the Semantic Core. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2022. Vol. 12, no. 2, pp. 103–109. DOI: 10.17759/mda.2022120205. (In Russ., аbstr. in Engl.)
References
- Rykov A.S. Methods of system analysis: Multicriteria and fuzzy optimization, modeling and expert evaluations. — M.: Economics, 1999.
- Search Engine Optimization (SEO) Secrets / Danny Dover, Erik Dafforn. — Indianapolis: John Wiley & Sons Limited, 2011.
- Kolotovkin I.S., Kulik S.D., Shevchenko A.A., Neural networks in the problems of query clustering when compiling a semantic core //Abstracts. XVII All-Russian Scientific Conference "Neurocomputers and their applications" NKP-2019. Moscow, March 19, 2019 — M .: FGBOU VO MGPPU, 2019. — P. 262-263.
- Kelbert M. Ya., Sukhov Yu. M. Probability and statistics in examples and problems. Vol. II: Markov chains as a starting point for the theory of random processes and their applications. — M.: MTSNMO, 2009.