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Outlier is strange data values that stand out from datasets. In some applications, finding outliers are more interesting than finding inliers in datasets, such as fraud detection, network system, financial and others. In this research, an algorithm is proposed to find minimum non-Reduct based on Rough set using Particle Swarm Optimization (PSO) for outlier(More)
Outlier mining is one important task in data mining and it has always been receiving attention from many researchers. The detection of outliers is found useful in many real applications like fraud detection and network intrusion. There are many outlier detection methods found in literature which include the frequent pattern generation and Rough Set based(More)
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