THANK YOU FOR SUBSCRIBING
Government CIO Outlook | Thursday, August 19, 2021
Machine learning is utilized in modern data analytics to find patterns and develop more accurate criminal profiles in substantially less time, which may then be used to apprehend criminals.
FREMONT, CA: Criminal profiling entails developing a descriptive profile of a potential perpetrator to guide apprehending the criminal. Investigators collect evidence and look for possible behavioral correlations between the objects they collect to build a criminal profile.
Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.
Criminal profiling can stop crime because most criminals exhibit predictable behaviors leading up to crimes. Law enforcement can identify criminal intent and take actions to capture and rehabilitate the person, averting future crimes, by analyzing non-criminal behavior and comparing it to known criminal behavior.
[vendor_logo_first]Airport security, for example, relies on criminal profiling knowledge to detect the behaviors of smugglers and detain them, preventing contraband from entering a country.
Social media policing for crime prevention
According to criminal investigators, social media behavior can help identify potential criminal intent, important in crime prevention.
However, social media networks service billions of users, making manual social media policing nearly difficult. However, with the use of contemporary data analytics technologies, law enforcement can monitor social media platforms for indicators of criminal intent.
Modern machine learning technologies embedded in data analytics platforms can analyze billions of social media comments and posts to identify criminal intent, allowing police to capture these individuals and prevent crime.
Predictive policing is powered by data analytics
The use of law enforcement in areas where crime is most expected to occur is predictive policing. This strategy has been used successfully to reduce crime in large cities.
Large cities' law enforcement organizations employ statistics and analytics to identify high-crime areas and increase policing resources in certain regions.
Data analytics is a tool for law enforcement to use to prevent crime
Effective policing is a vital component in creating a safe environment for future generations. However, unless law enforcement is proactive, a community will always be plagued by crime.
Data analytics may be used to enable preventive policing, resulting in a safer community for future generations.
More in News