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<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2409-1634</journal-id><journal-title-group><journal-title>Research result. Economic Research</journal-title></journal-title-group><issn pub-type="epub">2409-1634</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2409-1634-2021-7-1-0-8</article-id><article-id pub-id-type="publisher-id">2358</article-id><article-categories><subj-group subj-group-type="heading"><subject>ECONOMICS,MANAGEMENT AND ACCOUNTING IN A FIRM</subject></subj-group></article-categories><title-group><article-title>&lt;strong&gt;Geodata mining &amp;ndash; a technology of intellectual analysis&lt;br /&gt;
of spatial data&amp;nbsp;&lt;/strong&gt;</article-title><trans-title-group xml:lang="en"><trans-title>&lt;strong&gt;Geodata mining &amp;ndash; a technology of intellectual analysis&lt;br /&gt;
of spatial data&amp;nbsp;&lt;/strong&gt;</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Gerasimenko</surname><given-names>Olga А.</given-names></name><name xml:lang="en"><surname>Gerasimenko</surname><given-names>Olga А.</given-names></name></name-alternatives><email>gerasimenko@bsu.edu.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Kazybayeva</surname><given-names>Ayman Melisovna,</given-names></name><name xml:lang="en"><surname>Kazybayeva</surname><given-names>Ayman Melisovna,</given-names></name></name-alternatives><email>mraisovna@mail.ru</email></contrib></contrib-group><pub-date pub-type="epub"><year>2021</year></pub-date><volume>7</volume><issue>1</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/economic/2021/1/Экономические_исследования-72-80.pdf" /><abstract xml:lang="ru"><p>The article examines the features of spatial data processing and their role in the formation of strategic guidelines for planning a company opening. It is proposed to use the term GeoData mining in geomarketing, as a collection of extraction of spatial data; the authors demonstrate the municipal differences in the scientific methodology of GeoData mining and Data mining. The enlarged blocks of spatial information are generalized when creating the GeoData mining databank. Using the example of opening fishing shops in Belgorod, the stages of information transformation and potential geographic territories for a pool of real estate objects are summarized.

&amp;nbsp;</p></abstract><trans-abstract xml:lang="en"><p>The article examines the features of spatial data processing and their role in the formation of strategic guidelines for planning a company opening. It is proposed to use the term GeoData mining in geomarketing, as a collection of extraction of spatial data; the authors demonstrate the municipal differences in the scientific methodology of GeoData mining and Data mining. The enlarged blocks of spatial information are generalized when creating the GeoData mining databank. Using the example of opening fishing shops in Belgorod, the stages of information transformation and potential geographic territories for a pool of real estate objects are summarized.

&amp;nbsp;</p></trans-abstract><kwd-group xml:lang="ru"><kwd>strategic marketing management</kwd><kwd>data mining</kwd><kwd>geomarketing</kwd><kwd>spatial data</kwd></kwd-group><kwd-group xml:lang="en"><kwd>strategic marketing management</kwd><kwd>data mining</kwd><kwd>geomarketing</kwd><kwd>spatial data</kwd></kwd-group></article-meta></front><back><ref-list><title>Список литературы</title><ref id="B1"><mixed-citation>Berry M.J., Linoff&amp;nbsp; G., (1997). Data mining techniques: for marketing, sales, and customer support. John Wiley &amp;amp; Sons, Inc. (in USA), 1997.</mixed-citation></ref><ref id="B2"><mixed-citation>Gerasimenko O.A., Avilova Zh.N., (2016). Key business competencies as an economic category // Vestn. Belgorod. state technol. un-ta them. V.G. Shukhov. 2016. № 6: 273-277. (in Russian)</mixed-citation></ref><ref id="B3"><mixed-citation>Fomina E.V., (2020). Application of the apparatus of neural networks for the analysis of survey results. PNRPU Bulletin. Socio-economic sciences, 2020. №. 2: 99-110. (in Russian)</mixed-citation></ref><ref id="B4"><mixed-citation>Frawley W., Piatetsky-Shapiro&amp;nbsp; G., Matheus&amp;nbsp; C., (1992). Knowledge Discovery in Databases: An Overview. AI Magazine. Fall,1992: 213-228. (in USA)</mixed-citation></ref><ref id="B5"><mixed-citation>Hand D., Mannila H., Smyth P., (2001). Principles of Data Mining. MIT Press, Cambridge, MA. (in USA), 2001.</mixed-citation></ref><ref id="B6"><mixed-citation>Kachalov, D.L., Mishustin, A.V., Farhadov, M.P. 2017. Modern methods of processing big data in large-scale systems. Mathematical models of modern economic processes, methods of analysis and synthesis of economic mechanisms. Actual problems and prospects of management of organizations in Russia: materials of the XI All-Russian. scientific-practical conf. Samar. scientific. center of RAS. Samara, 2017: 65-71. (in Russian)</mixed-citation></ref><ref id="B7"><mixed-citation>Lyapin A.M., (2018). Methods for collecting and intelligent analysis of short messages from the Internet in order to identify emergency situations in the road transport infrastructure. Proceedings of higher educational institutions. Volga region. Technical science. №2 (46): 27-36. (in Russian)</mixed-citation></ref><ref id="B8"><mixed-citation>Martz N., Warren D., (2017). Big Data. Principles and practice of building scalable real-time data processing systems. M .: Williams, 2017: 368&amp;nbsp; (in USA)</mixed-citation></ref><ref id="B9"><mixed-citation>Omelchenko, A.S. 2006. Geodata as an innovative resource. Quality, innovation, education, 2006,&amp;nbsp; №1:12-14. (in Russian)</mixed-citation></ref><ref id="B10"><mixed-citation>Savinykh V.P., Tsvetkov V.Ya., (2014). Geodata as a system information resource. Bulletin of the Russian Academy of Sciences. Volume 84. №9. Pр.826-829. DOI: 10.7868 / S0869587314090278. (in Russian)</mixed-citation></ref><ref id="B11"><mixed-citation>Shilina M.G., Levchenko V.Yu., (2014). BIG DATA, OPEN DATA, LINKED DATA, metadata in PR: current models of transformation of theory and practice. Media scope, 2014, №1: 16. (in Russian)</mixed-citation></ref><ref id="B12"><mixed-citation>Shaytura S.V., (2015). Intelligent analysis of geodata. Prospects for Science and Education. №6 (18): 24-30. (in Russian)</mixed-citation></ref><ref id="B13"><mixed-citation>&amp;nbsp;Tkhorikov B.A., Lomovtseva O.A., Gerasimenko O.A., Sablina O.M., Titova I.N., (2020). Geomarketing &amp;ndash; a new concept or an applied business tool? // Vestn. Tomsk. state un-that. Economy. №49: 199-213. (in Russian)</mixed-citation></ref><ref id="B14"><mixed-citation>Tkhorikov B.A., (2011). Technology of municipal public health service assessment // European Researcher. №11 (14): 1554-1556. (in Russian)</mixed-citation></ref><ref id="B15"><mixed-citation>Tkhorikov B.A., (2012). Project management in health care facilities: the experience of</mixed-citation></ref><ref id="B16"><mixed-citation>the Belgorod region. Healthcare. 2012. №7: 28-32. (in Russian)</mixed-citation></ref><ref id="B17"><mixed-citation>Tsvetkov. V.Ya., (2014). Information field. Life Science Journal, 2014, №11 (5): 551-554. (in Russian)</mixed-citation></ref><ref id="B18"><mixed-citation>Tsvetkov V.Ya., (2013). Information interaction as a Mechanism of Semantic Gap Elimination. European Researcher, 2013, Vol.45, №41:782-786. (in Russian)</mixed-citation></ref><ref id="B19"><mixed-citation>Tsvetkov V.Ya., Domnitskaya &amp;nbsp;E.V. (2008). Geodata as the Basis for Digital Modeling. Modern high technologies, 2008, №4:100-101. (in Russian)</mixed-citation></ref></ref-list></back></article>