SenMinCom: Pervasive distributed dynamic sensor data mining for effective commerce

In last few years, the use of wireless sensor networks and cell phones has become ubiquitous; fusing these technologies in the field of business will open up new possibilities. To fill this lacuna, a novel idea is proposed where the combination of these will facilitate stores to receive feedback on their products and services. Systempsilas unobtrusive sensors will not only collect shopping data from customers but will also make effective use of the information to increase revenue, cut costs, etc.; the use of mobile agent based data mining allows analyzing the data from different dimensions, categorizing it on factors such as product positioning, promotion of goods, etc. Additionally, because of the dynamic mining system the shoppers get on-the-scene recommendation of products rather than off-the-scene. In this paper, a novel distributed pervasive mining system is proposed to get dynamic shopping information of the customers.