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Browsing Web of Science by Author "Department of System and Applied Programming"

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    Conference Object
    Citation Count: 1
    Algorithm for the Selection of Informative Symptoms in the Classification of Medical Data
    (World Scientific Publ Co Pte Ltd, 2020) Nishanov, A. Kh; Ruzibaev, O. B.; Chedjou, J. C.; Kyamakya, K.; Abhiram, Kolli; De Silva, Perumadura; Khasanova, M. A.; Department of System and Applied Programming
    In this paper the issues like preprocessing of medical data, reclassification of the training sets and determining the importance of classes, formation of reference tables, selection of an informative features set that differentiate between class objects, formed by medical professionals are discussed and solved. Mainly in the most studied references [5-8, 11-13] the Fisher's criterion is used to obtain solutions to problems/tasks. Also for solving problems, the algorithms for an estimate calculation as well as the related software programs are used. For all cases, algorithms and software programs are suggested. The study consists of two important steps. The first step is to build a reference table, based on the importance of the features and objects as well as their contribution to the classes [1-4, 9, 10]; the second step is concerned with the choice of the most useful characteristic features set to be investigated. This corresponds to solving the issue of selection of set of informative features from a given table, their visualization, and the determination of the contribution of the features set to the formation of classes [1-13].
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    Article
    Citation Count: 1
    Analysis of Methodology of Rating Evaluation of Digital Economy and E-Government Development in Uzbekistan
    (Anadolu Univ, 2022) Nishanov, Akhram Khasanovich; Norboyo'g'li, Saidrasulov Sherzod; Satimbaevich, Babadjanov Elmurad; Department of System and Applied Programming
    This article discusses the new rating assessment methodology approved by the Cabinet of Ministers of the Republic of Uzbekistan on June 15, 2021 "On measures to further improve the rating system of the digital economy and e-government" No. 373. initially the indicators are examined. In accordance with the Strategy "Digital Uzbekistan - 2030" in order to assess the state of digital transformation in the regions, a methodology for rating the level of digital development of regions was developed, which made it possible to diagnose the state of digitalization in the regions. In the rating assessment methodology, the indicators used by the United Nations (UN) to assess the development of information technology and the introduction of e-government in countries around the world have been adopted.
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    Modification of Decision Rules "Ball Apolonia" the Problem of Classification
    (Ieee, 2016) Nishanov, A. X.; Ruzibaev, O. B.; Tran, Nguyen H.; Department of System and Applied Programming
    This article is devoted to the study of one of the main tasks of data mining, pattern recognition problem. The problem of classification by the modified decision rules "ball Apollonia". Also, in this paper, an algorithm for solving the modified rule "ball Apollonia", based on the algorithm developed by the software in the language C#. The result is applied to the recognition problem for several well-known set of data.