Big Data Analytics: An Indian Perspective

Abstract

To gain competitive advantage and to improve efficiency, reliance on data has grown manifold. This work explored the emerging sources of big data generation in India, particularly post implementation of ‘Digital India’ scheme. Agencies that have implemented the big data are accentuated along with the potential area. Further, a model is proposed to integrate key services utilized within a country with the ‘Aadhar’ to gain insight in real time. Seamless integration of key services with ‘Aadhar’ will be increasingly helpful in curbing the crime from Indian landscape. Further, challenges in implementation of the model are perceived, and their solutions have been proposed.

Crime Classification Using GRU and 1CNN Techniques

“…The system presented a graph-based crime research framework that focuses on establishing relationships between the entities found in a sizable corpus of crime data from Indian states and union territories [15]. To deal with criminal situations, big data-based data analytical approaches can be applied [16]. Additionally, many data collection techniques are used for better performance, including Web 2.0, Geographic Information System (GIS), and Volunteered Geographic Information (VGI).…”