https:\/\/www.doi.org\/10.31891\/2307-5732-2020-285-3-11<\/a><\/p>\n\u0420\u0435\u0446\u0435\u043d\u0437\u0456\u044f\/Peer review :<\/strong> 23.04.2020 \u0440.
\n\u041d\u0430\u0434\u0440\u0443\u043a\u043e\u0432\u0430\u043d\u0430\/Printed :<\/strong> 04.06.2020 \u0440.<\/p>\n\u0410\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u043c\u043e\u0432\u043e\u044e \u043e\u0440\u0438\u0433\u0456\u043d\u0430\u043b\u0443<\/strong><\/p>\n\u0406\u043d\u0442\u0435\u043b\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u0438\u0439 \u0430\u043d\u0430\u043b\u0456\u0437 \u0434\u0430\u043d\u0438\u0445, \u0432 \u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u0446\u0456 – \u043f\u0440\u043e\u0446\u0435\u0441 \u0432\u0438\u044f\u0432\u043b\u0435\u043d\u043d\u044f \u0446\u0456\u043a\u0430\u0432\u0438\u0445 \u0442\u0430 \u043a\u043e\u0440\u0438\u0441\u043d\u0438\u0445 \u0437\u0430\u043a\u043e\u043d\u043e\u043c\u0456\u0440\u043d\u043e\u0441\u0442\u0435\u0439 \u0442\u0430 \u0432\u0437\u0430\u0454\u043c\u043e\u0437\u0432\u2019\u044f\u0437\u043a\u0456\u0432 \u0443 \u0432\u0435\u043b\u0438\u043a\u0438\u0445 \u043e\u0431\u0441\u044f\u0433\u0430\u0445 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\n\u041a\u043b\u044e\u0447\u043e\u0432\u0456 \u0441\u043b\u043e\u0432\u0430:<\/strong> \u043a\u043e\u043c\u043f\u2019\u044e\u0442\u0435\u0440\u043d\u0456 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u0438, \u0430\u043d\u0430\u043b\u0456\u0437 \u0431\u0430\u0437 \u0434\u0430\u043d\u0438\u0445, \u0456\u043d\u0442\u0435\u043b\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u0438\u0439 \u0430\u043d\u0430\u043b\u0456\u0437, \u0435\u043b\u0435\u043a\u0442\u0440\u043e\u0442\u0435\u0445\u043d\u0456\u043a\u0430, \u043c\u0430\u0442\u0435\u043c\u0430\u0442\u0438\u0447\u043d\u0430 \u043c\u043e\u0434\u0435\u043b\u044c, \u0430\u043d\u0430\u043b\u0456\u0437 \u0434\u0430\u043d\u0438\u0445, \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u044c \u0434\u043e\u0441\u0442\u0443\u043f\u0443.<\/p>\n\u0420\u043e\u0437\u0448\u0438\u0440\u0435\u043d\u0430 \u0430\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u0430\u043d\u0433\u043b\u0456\u0439\u0441\u044c\u043a\u043e\u044e \u043c\u043e\u0432\u043e\u044e<\/strong><\/p>\nAs computer storage increased during the 1980s, many companies began to store more transaction data. The resulting collection of records, often referred to as data warehouses, was too large to be analyzed using traditional statistical approaches. Several computer science conferences and seminars have been held to consider how the latest advances in artificial intelligence (such as the discovery of expert systems, genetic algorithms, machine learning, and neural networks) can be adapted to discover knowledge (the best term in the computer science community). When studying consumer buying behavior, a typical pattern usually becomes apparent; purchases made outside of this pattern may be marked for further investigation or for denial of the transaction. However, the wide variety of normal behaviors makes this a difficult task; no difference between normal and fraudulent behavior works for everyone or constantly.
\nData mining, in computer science – the process of identifying interesting and useful patterns and relationships in large amounts of data. The field combines statistics and artificial intelligence tools (such as neural networks and machine learning) and database management to analyze large digital collections known as datasets. Data mining is widely used in business (insurance, banking, retail), research (astronomy, medicine) and national security (detection of criminals and terrorists). The proliferation of numerous large and sometimes interconnected public and private databases has resulted in regulations guaranteeing the accuracy and protection of individual records from unauthorized inspection and forgery. Most types of data analysis focus on establishing general group knowledge rather than specific knowledge – a supermarket is less concerned with selling another item to one person than selling many items to many people, although pattern analysis can also be used to identify abnormalities. personal behavior, such as fraud or other criminal activity. One approach to improving reliability is to first group individuals who have similar procurement schemes, as group models are less sensitive to minor anomalies. For example, the “frequent business travelers” group is likely to have a template that includes unprecedented purchases in different locations, but members of this group may be marked for other transactions, such as catalog purchases that do not match the group’s profile.
\nKeywords:<\/strong> computer programs, database analysis, intelligent analysis, electrical engineering, mathematical model, data analysis, access control.<\/p>\n\u00a0<\/em>Referencse<\/strong><\/p>\n\n- Berry,\u00a0J. and\u00a0Linoff,\u00a0G.\u00a0(1997),\u00a0Data mining techniques-for marketing, sales and customer support, Williams Publishing House,\u00a0New York:\u00a0Wiley, USA.<\/li>\n
- Berry,\u00a0J.A.M. and\u00a0Linoff,\u00a0G.\u00a0(2000),\u00a0Mastering data mining -the art and science of customer relationship management, Williams Publishing House,\u00a0New York:\u00a0Wiley, USA.<\/li>\n
- Chatfield,\u00a0C.\u00a0(1997),\u00a0Royal statistical society news, Williams Publishing House, New York:\u00a0Wiley, USA.<\/li>\n
- Friedman,\u00a0J.\u00a0(1998),\u00a0Data mining and statistics-what’s the connection, 29th Symposium on the interface, Williams Publishing House, Cape Town, South Africa.<\/li>\n
- Hand,\u00a0D.\u00a0(1998),\u00a0Data mining-statistics and more,\u00a0Williams Publishing House, New York:\u00a0Wiley, USA.<\/li>\n
- Hand,\u00a0D.\u00a0(1999),\u00a0Data mining-new challenges for statisticians, Williams Publishing House, New York:\u00a0Wiley, USA.<\/li>\n
- Hand,\u00a0D.J.\u00a0(1999), Statistics and Data mining-intersecting disciplines,\u00a0SIGKDD Explorations, New York:\u00a0Wiley, USA.<\/li>\n
- Hastie,\u00a0T. Tibshirani,\u00a0R.\u00a0and\u00a0Friedman,\u00a0J.\u00a0(2001),\u00a0Elements of statistical learning-data mining inference and prediction,\u00a0Williams Publishing House, New York:\u00a0Wiley, USA.<\/li>\n
- Kuonen,\u00a0D.\u00a0(2004),\u00a0Data mining and Statistics: What is the connection,\u00a0The Data Administrative Newsletter,\u00a0Wiley, USA.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"
\u0406\u041d\u0422\u0415\u041b\u0415\u041a\u0422\u0423\u0410\u041b\u042c\u041d\u0418\u0419 \u0410\u041d\u0410\u041b\u0406\u0417 \u0414\u0410\u041d\u0418\u0425 DATA MINING \u0421\u0442\u043e\u0440\u0456\u043d\u043a\u0438: 65-75. \u041d\u043e\u043c\u0435\u0440: \u21163, 2020 (285) \u0410\u0432\u0442\u043e\u0440\u0438: \u0412. \u0406. \u0422\u043e\u043c\u0435\u043d\u043a\u043e \u0427\u0435\u0440\u043a\u0430\u0441\u044c\u043a\u0438\u0439 \u0456\u043d\u0441\u0442\u0438\u0442\u0443\u0442 \u043f\u043e\u0436\u0435\u0436\u043d\u043e\u0457 \u0431\u0435\u0437\u043f\u0435\u043a\u0438 \u0456\u043c\u0435\u043d\u0456 \u0413\u0435\u0440\u043e\u0457\u0432 \u0427\u043e\u0440\u043d\u043e\u0431\u0438\u043b\u044f \u041d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0443 \u0446\u0438\u0432\u0456\u043b\u044c\u043d\u043e\u0433\u043e \u0437\u0430\u0445\u0438\u0441\u0442\u0443 \u0423\u043a\u0440\u0430\u0457\u043d\u0438 \u041d. \u0412. \u0421\u0430\u0447\u0430\u043d\u044e\u043a-\u041a\u0430\u0432\u0435\u0446\u044c\u043a\u0430 \u0412\u0456\u043d\u043d\u0438\u0446\u044c\u043a\u0438\u0439 \u043d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0442\u0435\u0445\u043d\u0456\u0447\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u041e. \u041e. \u0414\u043c\u0438\u0442\u0440\u0456\u0454\u043d\u043a\u043e \u041f\u043e\u043b\u0442\u0430\u0432\u0441\u044c\u043a\u0438\u0439 \u043d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u043f\u0435\u0434\u0430\u0433\u043e\u0433\u0456\u0447\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u0456\u043c\u0435\u043d\u0456 \u0412.\u0413. \u041a\u043e\u0440\u043e\u043b\u0435\u043d\u043a\u0430 V Tomenko Cherkasy Institute of Fire Safety named after the Heroes […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[16],"tags":[],"_links":{"self":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/1393"}],"collection":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1393"}],"version-history":[{"count":3,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/1393\/revisions"}],"predecessor-version":[{"id":4104,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/1393\/revisions\/4104"}],"wp:attachment":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1393"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1393"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1393"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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