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Novel Intelligent Electronic Booking Framework for E-Business with Distributed Computing and Data Mining


Hussain Saleem, Khalid Bin Muhammad, Samina Saleem, Rubina Saleem, Anila Hussain, Ali Muhammad Aslam


Vol. 19  No. 4  pp. 270-278


Web science, a general discipline of learning is presently at high demand of expertise with ideas to develop software-based WebApps and MobileApps to facilitate user or customer demand e.g. shopping etc. electronically with the access at their smartphones benefitting the business enterprise as well. A worldwide-computerized reservation network is used as a single point of access for reserving airline seats, hotel rooms, rental cars, and other travel related items directly or via web-based travel agents or via online reservation sites with the advent of social-web, e-commerce, e-business, from anywhere-on-earth (AoE). This results in the accumulation of large and diverse distributed databases known as big data. This paper describes a novel intelligent web-based electronic booking framework for e-business with distributed computing and data mining support with the detail of e-business system flow for e-Booking application architecture design using the approaches for distributed computing and data mining tools support. Further, the importance of business intelligence and data analytics with issues and challenges are also discussed.


big data, business analytics, data mining, data science, e-Booking, e-Commerce, web science