Towards Outlier Detection For Scattered Data and Mixed Attribute Data
Detecting outliers which are grossly different from or inconsistent with the remaining dataset is a major challenge in real-world knowledge discovery and data mining (KDD) applications. The research work in this thesis starts with a critical review on the latest and most popular methodologies available in outlier detection area. Based on a series of performance evaluation of these algorithms, two major issues that exist in outlier detection, namely...[Show more]
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