{"id":3875,"date":"2024-04-12T12:27:55","date_gmt":"2024-04-12T09:27:55","guid":{"rendered":"https:\/\/nor-ijournal.com\/?p=3875"},"modified":"2024-04-18T21:13:26","modified_gmt":"2024-04-18T18:13:26","slug":"130-27","status":"publish","type":"post","link":"https:\/\/nor-ijournal.com\/ru\/2024\/04\/12\/130-27\/","title":{"rendered":"Salimov V., Sariyeva S. – DEVELOPMENT OF E-COMMERCE THROUGH DATA M\u0130N\u0130NG \u0130N AZERBA\u0130JAN"},"content":{"rendered":"
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DEVELOPMENT OF E-COMMERCE THROUGH DATA M\u0130N\u0130NG \u0130N AZERBA\u0130JAN<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Salimov V.
<\/strong>Assistant professor of Azerbaijan State Oil and Industry University
<\/em>Sariyeva S.
<\/strong>Master\u2019s student of Azerbaijan State Oil and Industry University<\/em><\/p>

Abstract
<\/strong>The digital age has steered into a new period of commerce, transubstantiating traditional business models and functional strategies across the globe. Azerbaijan, a burgeoning hub for technological advancement, has not remained untouched by this digital revolution. In the realm of electronic commerce (e-commerce), the country substantiates a massive affluence of structured and unstructured data, inclusively known as big data. This data, gathered from client relations, seller conditioning, market trends, and the broader business ecosystem, presents unknown openings for e-commerce realities. This paper is devoted \u00a0to the application\u00a0 of data mining (DM) methods \u00a0in the Azerbaijani e-commerce sector, focusing on three vital algorithms:, clustering, classification and association rules . By employing these algorithms, e-commerce companies can unlock perceptivity for wares planning, sales forecasting, basket analysis, customer relationship management, and market segmentation. The primary idea of this study is to explore the application of data mining in enhancing e-commerce through the methodical analysis of both structured and unstructured data acquired from different sources, including cloud computing services. The significance of data mining in streamlining operations and fostering competitive advantage is emphasized, highlighting its role in data-driven decision-making. Additionally, the paper addresses the challenges encountered in the data mining process, such as spider identification, data transformation, and the presentation of data models in a business-friendly manner. The issues of managing slowly changing dimensions and making the data transformation and model-building processes more accessible to business users are also scrutinized. Through this exploration, the paper aims to offer a comprehensive guide for e-commerce companies in Azerbaijan, equipped with vast data reserves, to effectively leverage data mining techniques for business optimization and competitive edge. This study not only underscores the transformative potential of data mining in the e-commerce landscape of Azerbaijan but also presents a pathway for businesses to navigate the complexities of big data, ensuring sustained growth and innovation in the digital marketplace.<\/p>

\u00a0<\/strong>Keywords:<\/strong> Data Mining, Big Data, E-Commerce, Cloud Computing, Azerbaijan<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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