Your IP : 216.73.216.40
<body>
<h1>Human Behavior Prediction using Call Data Record</h1>
<div align="justify"><br>
</div>
<div class="text">
<div align="justify">We know that mobile has become an integral part for every individual and now people prefer multiple mobile set or dual SIM set that lead to a revolutionary transformation in every aspect of human life. India is the fifth nation to join the `100 million mobiles club', along with United States, China, Russia and Japan. This mind-boggling growth has no doubt facilitated international commerce, trade and travel but mobile phones are heavily used in the planning and coordination of criminal activities and hence pose challenges for the investigating agencies to corroborate evidences. In order to maintain national security as well as law & order, it is necessary to investigate the call data records and its details e.g. location, calling number, called number, IMEI number, frequency, mode (voice or SMS), BTS address etc and on the basis of analysis, some concrete predictions can be made which can relate to the behavior of the real malefactor and their related parties.
Our work mostly focuses on the design of some algorithms based on some mathematical calculation, artificial intelligence and soft computing. We are working on prediction of human behavior using call data record on the basis of certain heuristics such as behavioral entropy and social tie strength among mobile users. We are trying to develop certain standard and threshold value to calculate social network affinity so that we can locate criminals and predict future course of action with minimum error.
</div>
</div>
</body>