Multiple Plane Area Detection Using Self Organizing Map

Intrusion Detection System Using Self Organizing Map

The goal of the article is to presents intrusion detections systems and design architecture of intrusion detection based on neural network self organizing map. In the report is described base problematic of neural network and intrusion detection system. The article further deals with specific design of intrusion detection architecture based on user anomaly behavior. A core of the designed archi...

Classification of Streaming Fuzzy DEA Using Self-Organizing Map

The classification of fuzzy data is considered as the most challenging areas of data analysis and the complexity of the procedures has been obstacle to the development of new methods for fuzzy data analysis. However, there are significant advances in modeling systems in which fuzzy data are available in the field of mathematical programming. In order to exploit the results of the researches on ...

Multiple imputation of missing data using self organizing map ensembles

Fraud detection using self-organizing map visualizing the user profiles

We propose a fraud detection method based on the user accounts visualization and threshold-type detection. The visualization technique employed in our approach is the Self-Organizing Map (SOM). Since the SOM technique in its original form visualizes only the vectors, and the user accounts are represented in our work as the matrices storing a collection of records reflecting the user sequential ...

Automatic Image Orientation Detection Using the Supervised Self-organizing Map

Automatic detection and correction of image orientation is of great importance in intelligent image processing. In this paper, we present an automatic image orientation detection algorithm based on the supervised selforganizing map (SOM). The SOM is trained by using compact and efficient low-level chrominance (color) features in a supervised manner. Experiments have been conducted on a database...