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

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 way.Online business transactions have increased,especially when the user or customer cannot obtain the required service.For example,with the spread of the epidemic Coronavirus(COVID-19)throughout the world,there is a dire need to rely more on online business processes.In 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 transactions.This paper proposes an event stream mechanism based on formula patterns to enhance business processes and record all user activities in a structured log file.Each user activity is recorded with a set of tracing parameters that can predict the behavior of the user in business operations.The experimental results are conducted by applying clustering-based classification algorithms on two different datasets;namely,Online Shoppers Purchasing Intention and Instacart Market Basket Analysis.The clustering process is used to group related objects into the same cluster,then the classification process measures the predicted classes of clustered objects.The experimental results record provable accuracy in predicting user preferences on both datasets.

Touch-and-Go Mobile Payment System

Contactless mobile payment devices are fast, convenient and user friendly means for executing small value business transactions. This kind of transactions is preferred to be executed conveniently and on the fly by just tapping a mobile payment device to a mobile terminal. Mobility, convenience and fast transaction execution are very important payment system properties in potentially crowded places such as in public transportation. These properties are in practice causing transaction execution problems, such as: delays in offline transaction execution, transaction atomicity failures caused by mobile data communication drops, lack of central control on mobile transaction system components and increased vulnerability risk caused by easy physical access to the mobile transaction system components. This paper describes a holistic transaction processing model for resolving mentioned problems in micropayment mobile touch-and-go transaction systems. Defined processing model was implemented on real public transportation mobile payment system where it was proven as a robust solution for execution of small value touch-and-go mobile ticketing transactions.