EFFECTUAL CITIZEN RELATIONSHIP MANAGEMENT WITH DATA MINING TECHNIQUES

Effective knowledge sharing and learning is an important source of organizational performance. Citizens are a valuable source for any organization in terms of planning, providing and performance management. In this paper, we have developed a hybrid data mining model for providing effective citizen relationship with the government with respect to municipality services. The complaints of the citizens are taken from the Visakhapatnam Municipal Office as an input database in this paper. We developed a hybrid data mining model using clustering and association rules in combination. For finding high frequent complaints we used clustering technique K-Means and to determine which factors affect the satisfaction rate in those kinds of complaints we used Apriori algorithm.