Crime Detection and Analysis from Social Media Messages Using Machine Learning and Natural Language Processing TechniqueSocial media has dramatically influenced and changed the rate and the nature of crime in our society. The perpetrators cut across different age groups, social standing, and beliefs. ...
Predictive policing means, using analytical and predictive techniques, to identify criminal and it has been found to be pretty much effective in doing the same. Because of the increased crime rate over the years, system will have to handle a huge amount of crime data stored in warehouses ...
Some studies suggest that when used correctly, these techniques can be highly accurate – significantly more so than a polygraph test. But their use raises many issues. In the United States, brain-based lie detection was presented as eviden...
Crime is an age-old and never-ending problem for societies worldwide and crime detection and crime fighting have always chased after the criminals who often stay one step ahead. Researchpublishedin theInternational Journal of Knowledge-Based Developmenthas turned to emotional data alongside machine le...
Our network-level view improves detection rates and enables industry collaboration Financial crime solutions Consumer Fraud Risk Our financial crime solutions predict and prevent payment scams in real time, using AI insights and our unique view of account-to-account payments to keep consumers safe from...
Integrating AI into forensic investigations and the detection of economic crimes undoubtedly offer immense benefits. However, we must tread carefully in its application to ensure that it operates with the required precision and in accordance with the law. Acknowledgement We kindly thank Adrian Ott and...
2 are likely to be successful in job scam detection on social media. 3.2.3 Terrorism In the United Kingdom, terrorist offences are defined by the Terrorism Act of 2000 [52]. The unique offence that was found in the literature review was Radicalisation. Radicalisation using social media is ...
the industry began to leverage statistical inference to more effectively handle risk. Subsequently and most recently we have seen a shift to using machine learning and artificial intelligence (AI) for fraud detection purposes. While the use of these technologies for fraud detection may seem revolutiona...
were “machine learning”, “crime prediction”, “deep learning”, “fraud detection”, and “bullying”. Also, other authors working in a similar domain, like Wang X., Wang Z., and Zhang X., published their major manuscripts in Lecture Notes in Computer Science. In addition, the ...
Machine Learning Forensics for Law Enforcement, Security, and Intelligence Investigations Using Self-organising Clustering Map (som) Neural Networks, Text Extraction, And Rule Generating Software To 'interrogate The Evidence' For Fraud Detection, Cybersecurity, Competitive Counterintelligence, Corporate And ...