Algorithms for Mining Distance-Based Outliers in Large Datasets
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
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This paper present the concept of the outlier mining, discussed using Euclidean distance-based outlier mining to analyse the expressway toll to anti-defrauding, for to illustrate it, gived the example of toll collection’s man-day and nullah, analysed the toll collection data in Microsoft SQL Server, helped the toll check man to find outlied data, via emphases check on those outlier data, can fing the evidence for anti-defrauding; can offer proofe chain to treat with the defrauding things, this paper also analysed the strongpoint and the shortcoming of using the algorithms of Euclidean distance-based outlier to analyse the defrauding in highway toll collection.