Crime Predictive Model Using Big Data Analytics
Hemanta Kumar Bhuyan, Subhendu Kumar Pani · 2021
Big data analytics (BDA) is systematized based on recognized diverse data group models, data family members, and movements within a huge amount of information. It considers BDA for criminal data where investigative data analysis is carried out for getting flow of activities on criminals. The rate of cyber-crime is growing in the internet to violate the digital access of public demand. The traditional data of crime can't be analysed to catch criminals. The different structure of criminal data needs analysing to detect criminal activities. Thus, it may be considered to take BDA for huge information of different criminal activities. The data collection and distribution over geographic location is important for data analytics with security. Different kind of business and individual development are increased by internet as per public or private demand. In this scenario, cybercrime incidents are happened through several digital media. To identify crime characteristics is a big challenge, because criminals are smarter than investigation process. Thus, it needs to develop the technology to identify the criminal activities using Geographic Information System (GIS) and techniques of machine learning to develop different techniques to catch criminals based on their track of activities.