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. ...
Support vector machine (SVM) and ANN were implemented, but SVM yielded better accuracy and thus was considered the most suitable. A ML model [8] proposed a fraud detection system using a hybrid machine learning approach emphasizing on electronic transactions. It has been observed that most ...
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...
Techcombank slashes the time needed for fraud detection to mere seconds using a SAS enterprise fraud solution. Read the story Milliseconds SAS Fraud Management equips Nets to identify potential fraud from transactional data in milliseconds. Read the story ...
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 ...
violent crime and property crime. The crime analysis has been performed based on six different types of classification techniques, like prediction, classification, visualization, regression, clustering and outlier detection. This research has also shown that Bayesian, neural network and nearest neighbour ...
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...
ICTs and their progressive evolution afford cybercriminals layers of anonymity and pseudonymity, distinguishing them from perpetrators of terrestrial crimes. In contrast to terrestrial offenses, where the facial and biometric features of individuals are at a higher risk of detection by both human observe...
"atPay360. The panelists will explore the topics of main trends of AI usage for fraud and cyber-crime, and how machine learning and synthetic data be leveraged for real-time fraud detection. To view an enhanced version of this graphic, please visit:https://images.newsfilec...