Please use this identifier to cite or link to this item: http://dspace.azjhpc.org/xmlui/handle/123456789/262
Title: Development and Research Of Classification Models On Base Of “Decision Tree” method for E-Commerce Systems
Authors: Sariyeva, Sevil
Keywords: e-commerce;online shopping;digital marketing;website payment systems;marketing strategies;decision tree analysis
Issue Date: 11-May-2023
Publisher: Azərbaycan Dövlət Neft və Sənaye Universiteti
Abstract: E-commerce, which stands for electronic commerce, involves the purchase and sale of goods and services through the internet. With the growing accessibility and reliability of the internet, e-commerce has gained popularity in recent years. This mode of business enables companies to expand their customer base, while giving consumers the flexibility to shop from any location with an internet connection. There are various forms of e-commerce, including b2b (business-to-business), b2c (business-to-consumer), c2b (consumer-to-business), and c2c (consumer-to-consumer). E-commerce businesses must have an effective website, secure payment systems, and reliable shipping and handling processes to ensure customer satisfaction. Moreover, it is crucial for them to employ digital marketing tactics to draw and maintain their customer base. The e-commerce sector is continually developing, and it introduces new technologies and trends to enhance the overall customer experience and boost profitability. As such, businesses must stay up-to-date with these changes to remain competitive in the online marketplace.
URI: http://dspace.azjhpc.org/xmlui/handle/123456789/262
Journal Title: 1st INTERNATIONAL CONFERENCE ON THE 4th INDUSTRIAL REVOLUTION AND INFORMATION TECHNOLOGY
metadata.dc.source.booktitle: 1st INTERNATIONAL CONFERENCE ON THE 4th INDUSTRIAL REVOLUTION AND INFORMATION TECHNOLOGY
Volume: 1
Issue: 1
First page number: 144
Last page number: 146
Number of pages: 3
Appears in Collections:1st INTERNATIONAL CONFERENCE ON THE 4th INDUSTRIAL REVOLUTION AND INFORMATION TECHNOLOGY

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