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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

IMPACT FACTOR (RJIF): 8.4

Vol. 9, Special Issue 4, Part B (2023)

Dynamic data visualization and clickstream data analytic for e-commerce

Dynamic data visualization and clickstream data analytic for e-commerce

Author(s)
Shivani Sharma and Sayanta Kumar Das
Abstract
Nowadays web is becoming an important pathway for reaching customers and prospects; Click stream data generated by online platforms and websites has become another important enterprise data source. Every minute thousands of customers do shopping through e-commerce web sites around the world. Huge amounts of click stream data are generated from customers' use of e-commerce websites. It has become crucial to understand user behavior from click stream data and to estimate purchase intention. This paper discuss the traditional approaches for operating on B2C E-Commerce as well as some recent applications of Data visualization tools and techniques in E-Commerce sector and also the development of a 2D interactive visual interface for processing large online product catalogs with search preferences.
Pages: 48-50  |  251 Views  98 Downloads


International Journal of Applied Research
How to cite this article:
Shivani Sharma, Sayanta Kumar Das. Dynamic data visualization and clickstream data analytic for e-commerce. Int J Appl Res 2023;9(4S):48-50.
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