Abstract:

Online marketing via internet on mobile apps (which includes android, ios and windows app) along with web mining is an essential part of e-commerce. In the recent years, with the more use of mobile devices usage trends that grow exponentially, providing online marketing services for mobile users has been becoming business opportunities. Despite these opportunities, mobile marketing system using mobile apps along with web mining for e-commerce has not been widely studied. As mobile devices are personal tools, mobile marketing systems along with web mining must be properly designed such that users will accept the systems. Nowadays online business breaks the barrier of time and space as compared to the physical office. Big companies around the world are realizing that e-commerce is not just buying and selling over Internet, rather it improves the efficiency to compete with other giants in the market. This paper presents the design and prototype of an e-commerce mobile marketing system using mobile apps and also how web mining helps resolving user acceptance criteria, such as information personalization, privacy protection, up-to-date content, payments, statistics and analysis of usage of e-commerce market on the internet. The proposed system integrates a marketing provider website and mobile applications used by shoppers. The design and prototype are provided for the web mining, website, mobile app applications and the communication between both sub-systems that employs web services and a cloud service. Prototype testing and evaluation have been performed to ensure that the proposed system works properly. Business over internet provides the opportunity to customers and partners where their products and specific business can be found. For this purpose data mining sometimes called as knowledge discovery is used. Web mining is data mining technique that is applied to the world wide web. There are vast quantities of information available over the Internet.

General terms: Data mining techniques, e-commerce applications and web mining.

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