In this paper, a new method called Anomaly Discover is provided for detecting anomalies in communities with mixed attributes (binary, numerical and categorical attributes). Our strategy tries to identify unusual users Online Social Networks (OSN) score them according how far they deviate from typical users. ranking based on both users’ network structure. Moreover, effective anomaly detection, t...

Hyperspectral anomaly detection is one of the main challenging topics in both military and civilian fields. The spectral information contained in a hyperspectral cube provides a high ability for anomaly detection. In addition, the costly spatial information of adjacent pixels such as texture can also improve the discrimination between anomalous targets and background. Most studies miss the wort...

In almost every job, technological advancement plays a vital role in making it easierfor humans, including social media. Today, there is diminution of solidarity, which iscontradictory to the “concept caring”. Users are increasingly indifferent, sometimesselfish, and exaggerate when they come into contact with posts on media, thustriggering hacking by irresponsible individuals achieve certain a...

The article proposes an expert system for detection, and subsequent investigation, of groups of collaborating automobile insurance fraudsters. The system is described and examined in great detail, several technical difficulties in detecting fraud are also considered, for it to be applicable in practice. Opposed to many other approaches, the system uses networks for representation of data. Netwo...