Systems and Means of Informatics
2021, Volume 31, Issue 1, pp 69-81
SUPPORT FOR SOLVING DIAGNOSTIC TYPE PROBLEMS
- M. I. Zabezhailo
- A. A. Grusho
- N. A. Grusho
- E. E. Timonina
Abstract
Some significant features of mathematical methods of data analysis and decision support in diagnostic-type problems are discussed. The most significant characteristic features are considered allowing to distinguish the tasks of the discussed type into a special class. This class requires the simultaneous development of solutions to a number of interrelated problems which, without taking into account such relationships, are practically useless. Using the experience with diagnostic-type tasks, recommendations are made on the areas of development of effective approaches and methods of data mining for solving such applications.
[+] References (12)
- Kleene, S. C. 1967. Mathematical logic. New York, NY: Wiley. 398 p.
- Mendelson, E. 2015. Introduction to mathematical logic. 6th ed. New York, NY: CRC Press. 499 p.
- Davis, R., H. Shrobe, and P. Szolovits. 1993.What is a knowledge representation? AI Mag. 14 (1): 17-33.
- Van Harmelen, F., V. A. Lifschitz, and B. Porter, eds. 2008. Handbook of knowledge representation. Amsterdam: Elsevier. 1005 p. Available at: http://dai.fmph.uniba. sk/~sefranek/kri/handbook/handbook_of_kr.pdf (accessed March 1, 2021).
- NIST Digital Library. Mathematical knowledge management. Available at: https:// www.nist.gov/mathematical-knowledge-management (accessed February 4, 2021).
- Finn, V. K. 2011-2012. J. S. Mill's inductive methods in artificial intelligence systems. Scientific and Technical Information Processing. Part I (2011). 38(6):385-402. Part II (2012). 39(5):241-260.
- Grusho, A. A., M.I. Zabezhailo, A. A. Zatsarinny, A. V. Nikolaev, V. O. Piskovski, V. V. Senchilo, and E. E. Timonina. 2017. Klassifikatsiya oshibochnykh sostoyaniy vraspredelennykhvychislitel'nykhsistemakhiistochniki ikh vozniknoveniya [Erroneous states classifications in dictributed computing systems and sources of their occurences]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 27(2):29- 40.
- Ashby, W. R. 1956. An introduction to cybernetics. New York, NY: Wiley. 316 p.
- Grusho, A. A., M.I. Zabezhailo, and E.E. Timonina. 2020. O kauzal'noy reprezen- tativnosti obuchayushchikh vyborok pretsedentov v zadachakh diagnosticheskogo tipa [On causal representativeness of training samples of precedents in diagnostic type tasks]. Informatika i ee Primeneniya - Inform. Appl. 14(1):80-86.
- Grusho, N. A., A. A. Grusho, M.I. Zabezhailo, and E.E. Timonina. 2020. Metody nakhozhdeniya prichin sboev v informatsionnykh tekhnologiyakh s pomoshch'yu meta- dannykh [Methods of finding the causes of information technology failures by means of metadata]. Informatika i ee Primeneniya - Inform. Appl. 14(2):33-39.
- Zabezhailo, M. I. 2020. Some estimates of computational complexity when predicting the properties of new objects using characteristic functions. Autom. Doc. Math. Linguist. 54(6):298-305. doi: 10.3103/S0005105520060072.
- Zabezhailo, M. I., and Y. Y. Trunin. 2020. K probleme nadezhnosti meditsinskogo diagnoza, formiruyemogo na osnove empiricheskikh dannykh [To the reliability of medical diagnosis based on empirical data]. Iskusstvennyy intellekt i prinyatie resheniy [Scientific and Technical Information Processing] 4:3-13.
[+] About this article
Title
SUPPORT FOR SOLVING DIAGNOSTIC TYPE PROBLEMS
Journal
Systems and Means of Informatics
Volume 31, Issue 1, pp 69-81
Cover Date
2021-04-20
DOI
10.14357/08696527210106
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
artificial intelligence; intelligent data analysis; mathematical methods; diagnostics
Authors
M. I. Zabezhailo  , A. A. Grusho  , N. A. Grusho  , and E. E. Timonina
Author Affiliations
 A. A. Dorodnicyn Computing Center, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 40 Vavilov Str., Moscow 119333, Russian Federation
 Institute of Informatics Problems, Federal Research Center "Computer Science
and Control", Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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