{"id":4413,"date":"2025-03-07T07:30:36","date_gmt":"2025-03-07T07:30:36","guid":{"rendered":"https:\/\/interfinance.tsue.uz\/?p=4413"},"modified":"2025-03-07T07:31:20","modified_gmt":"2025-03-07T07:31:20","slug":"forecasting-the-economic-competitiveness-of-the-samarkand-region-based-on-big-data-technology","status":"publish","type":"post","link":"https:\/\/interfinance.tsue.uz\/?p=4413","title":{"rendered":"FORECASTING THE ECONOMIC COMPETITIVENESS OF THE SAMARKAND REGION BASED ON BIG DATA TECHNOLOGY"},"content":{"rendered":"<p>Shuhrat Kamalovich Kamalov<br \/>\nTashkent State University of Economics<br \/>\nAssociate Professor, Department of Artificial Intelligence<br \/>\nEmail: kamalov.shukhrat@gmail.com<br \/>\nTashkent, Uzbekistan<br \/>\nORCID: 0000-0003-4937-0814<\/p>\n<p>Diyora Bo\u2018riboyevna Absalamova<br \/>\nTashkent State University of Economics<br \/>\nAssistant, Department of Artificial Intelligence<br \/>\nEmail: absalamovadiyora@gmail.com<br \/>\nTashkent, Uzbekistan<\/p>\n<p>Go\u2018zal Bo\u2018riboyevna Absalamova<br \/>\nTashkent State University of Economics<br \/>\nSenior Lecturer, Department of Artificial Intelligence<br \/>\nEmail: gozalabdusalomova1996@gmail.com<br \/>\nTashkent, Uzbekistan<\/p>\n<p>JELClassification: R11 O24<\/p>\n<p>Abstract: This article is dedicated to analyzing the economic competitiveness of the Samarkand region using Big Data technologies and developing development forecasts for the years 2025-2030. The study processes large volumes of data, including the region&#8217;s Gross Regional Product (GRP), tourism sector, agriculture, industrial production, and infrastructure. Machine learning algorithms such as Decision Trees and Long Short-Term Memory (LSTM) are applied. The results identify the region&#8217;s economic growth potential, competitive advantages, and weaknesses, providing recommendations for improving regional development policies.<br \/>\nKeywords: Big Data, economic competitiveness, forecasting, Samarkand region, tourism, decision tree, LSTM, ARIMA, Apache Spark<\/p>\n\n\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/interfinance.tsue.uz\/wp-content\/uploads\/2025\/03\/4Kamalov-Shuhrat.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of 4+Kamalov Shuhrat.\"><\/object><a id=\"wp-block-file--media-cceaa383-b14f-46ab-929f-b40ee9177bb4\" href=\"https:\/\/interfinance.tsue.uz\/wp-content\/uploads\/2025\/03\/4Kamalov-Shuhrat.pdf\">4+Kamalov Shuhrat<\/a><a href=\"https:\/\/interfinance.tsue.uz\/wp-content\/uploads\/2025\/03\/4Kamalov-Shuhrat.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-cceaa383-b14f-46ab-929f-b40ee9177bb4\">Download<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Shuhrat Kamalovich Kamalov Tashkent State University of Economics Associate Professor, Department of Artificial Intelligence Email: kamalov.shukhrat@gmail.com Tashkent, Uzbekistan ORCID: 0000-0003-4937-0814 Diyora Bo\u2018riboyevna Absalamova Tashkent State University of Economics Assistant, Department of Artificial Intelligence Email: absalamovadiyora@gmail.com Tashkent, Uzbekistan Go\u2018zal Bo\u2018riboyevna Absalamova <a href=\"https:\/\/interfinance.tsue.uz\/?p=4413\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[67],"tags":[],"class_list":["post-4413","post","type-post","status-publish","format-standard","hentry","category-2025-1-issue-1-6"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - 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