Overview

Original Research

FACTOR PARTICIPATING AND IMPACTING E-MARKETS PIONEERS BEHAVIORAL TRACKING

RIYADH MEJBELYASEEN AL-DULAIMI 1, AMEL MEDDEB MAKHLOUF 2, and AHMED FAKHFAKH 3.

Vol 18, No 12 ( 2023 )   |  DOI: 10.5281/zenodo.10377068   |   Author Affiliation: NTS'COM National School of Electronic and Telecommunication of Sfax, University of Sfax, Tunisia 1,2; NTS'COM National School of Electronic and Telecommunication of Sfax, Laboratory of Signals, System, Artificial Intelligence and Networks, Digital Research Center of Sfax, University of Sfax, Tunisia 3.   |   Licensing: CC 4.0   |   Pg no: 657-663   |   Published on: 12-12-2023

Abstract

Due to the emerging of internet technology and development of mobile communications, word economic has tended to digital and soft markets. Accordingly, all the necessary steps were taken to establish a virtual market ensuring stunning shopping experience for each customer. The customer’s behaviors are the most important factor in E-Commerce platforms. Marketing team (company) is desperately willing to know how dose each category of customers react to their product. Data mining technologies including the clustering techniques, classification and prediction are deployed to mining the knowledge of marketing data. The data mining technology influence on the E-Commerce has been analyzed in this study; a questionnaire base review has made to collect the data required in this study. SPSS 23 software has been used to analysis the questionnaire data. According to the results observed in this study, data mining can enhance the performance of E-Commerce by providing a smart and efficient customer behaviors prediction. Furthermore, this technology is realized with similar advantages for the end-customer also.

Keywords

E-marketing, Shopping, Clustering, Neural Network, Mean, Standard Deviation, HTML, Event Prediction.