An E-Business Event Stream Mechanism for Improving User Tracing Processes

作     者：Ayman Mohamed Mostafa Saleh N.Almuayqil Wael Said 

作者机构：College of Computers and Information SciencesJouf UniversitySakaka72314Saudi Arabia Faculty of Computers and InformaticsZagazig UniversityZagazig44519Egypt College of Computer Science and EngineeringTaibah UniversityMedina42353Saudi Arabia 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2021年第69卷第10期

页      面：767-784页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Business transactions event stream log file tracing parameters clustering-based classification 

摘      要：With the rapid development in business transactions,especially in recent years,it has become necessary to develop different mechanisms to trace business user records in web server log in an efficient *** business transactions have increased,especially when the user or customer cannot obtain the required *** example,with the spread of the epidemic Coronavirus(COVID-19)throughout the world,there is a dire need to rely more on online business *** order to improve the efficiency and performance of E-business structure,a web server log must be well utilized to have the ability to trace and record infinite user *** paper proposes an event stream mechanism based on formula patterns to enhance business processes and record all user activities in a structured log *** user activity is recorded with a set of tracing parameters that can predict the behavior of the user in business *** experimental results are conducted by applying clustering-based classification algorithms on two different datasets;namely,Online Shoppers Purchasing Intention and Instacart Market Basket *** clustering process is used to group related objects into the same cluster,then the classification process measures the predicted classes of clustered *** experimental results record provable accuracy in predicting user preferences on both datasets.