To understand the crime pattern, data are used by police from the past. The objective is to predict acts of terrorism based on the large amount of surveillance data. The technology will collect data on ordinary citizens, including information on their jobs, hobbies, consumption habits, and other behaviors and will flag unusual behavior that could signal a potential terrorist attack. Police in both Los Angeles and Manchester ran trials using a computer algorithm to predict where crime would most likely to take place. Their aim was to find patterns in criminal behavior by analyzing crime data to prevent crime through predictive policing. There is a need for research into machine learning and other artificial intelligence technologies to identify human faces in surveillance video. The police can analyze large amounts of crime data, i.e. 'big data'. Enterprises are now using big data technologies to detect and fight cyber threats. Big data analytics and shared threat intelligence can increase the organization's effectiveness in security measures. For more read: http://www.cxotoday.com/story/how-big-data-can-be-used-to-predict-crime-patterns/
