Title: A granular hardware/software system: pervasive distributed dynamic sensor data mining system for effective commerce

Authors: Naveen Hiremath, Yan-Qing Zhang

Addresses: Department of Computer Science, Georgia State University, Atlanta, GA 30302-3994, USA. ' Department of Computer Science, Georgia State University, Atlanta, GA 30302-3994, USA

Abstract: In recent years, wireless sensor networks, cell phones and granular hardware/software systems have become ubiquitous for various applications; fusing these technologies in the field of business opens up new applications. To fill this lacuna, we propose a novel idea where the combination of these technologies facilitates the stores to receive feedback on their products and services. System|s unobtrusive sensors will not only collect shopping data from customers, but will also make effective use of this information to increase revenue, cut costs, etc.; the use of mobile agents-based data mining allows analysing the data from different dimensions and categorising it on factors such as product positioning, promotion of goods, etc. Additionally, the shoppers get on-the-scene recommendation of products, rather than off-the-scene. In this paper, a novel granular distributed pervasive mining system is proposed to get dynamic shopping information of the customers.

Keywords: granular hardware; granular software; granular computing; wireless sensor networks; WSNs; data mining; mobile agents; e-commerce; wireless networks; cell phones; mobile phones; sensors; agent-based systems; multi-agent systems; electronic commerce; shopping data; online shopping; product recommendations; recommender systems.

DOI: 10.1504/IJGCRSIS.2010.029581

International Journal of Granular Computing, Rough Sets and Intelligent Systems, 2010 Vol.1 No.3, pp.252 - 271

Published online: 30 Nov 2009 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article