Approach and review of user oriented interactive data mining

Nowadays, Exploring and extracting knowledge from data is one of the fundamental problems in science. while many data mining models concentrate on automation and efficiency, interactive data mining models focus on adaptive and effective communications between human users and computer systems. User views, preferences, strategies play the most important roles in human-machine inter activities, guide the selection of target knowledge representations, operations, and measurements. However, it is not a right approach that the patterns are discovered only with data mining algorithms. Because this might be extra for discovered patterns but might not be useful for persons. Besides this, The knowledge which is useful for someone might not be useful for another one. Due to these reasons, a user oriented interactive approach needs to be applied to data mining process. User oriented interactive data mining models adapt between the users and computer systems, from efficient communication structures and provide the possibility of discovering the most suitable data mining algorithm for users. Thus, Data mining is extracted from being a hard and boring process for users and it provides users with a chance of discovering the most suitable knowledge for themselves. In this study, states reviewing the studies related to user oriented interactive data mining. The results which are obtained from the studies assessment of systems which are improved and suggestion are presented in these studies. It comes into prominence that data mining which is used for discovering the essence information needs to have an interactive structure and multi-visualization techniques.