User Activity Recognition and Pattern Prediction Using Call Data Mining

The story of technology is certainly as old as humanity itself. With the advancement of time, human society has been instrumental in communication technology. Technology has worked in two ways, as a supporting tool for crime as well as a helping tool to identify and investigate the e at the same time. In the last decade, India has seen rapid growth in the field of mobile communication as it is continuously increasing at an exponential rate, the availability of cheap data and availability of economical rate of calling encourages users to make calls easily and this continuous calling within a certain group creates a network considering relationship a parameter. The use of existing models of rapid data mining on mobile phone call logs / call data records (CDR)establishes a new dimension in the field of a user's social behavior. Meanwhile, it makes a possible methodology of suspect detection based on certain attributes i.e., cell phone conversation ratio, calling pattern among users, terrain-basedfacts, etc. In this paper, key areas which have been covered are “Machine's perception towards prediction of complex social systems and strange behavior of cell phone user” based on data mining techniques applied on call details of cell phone users.