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- W96768657 abstract "Outlier detection is a hot research field in knowledge discovery in databases,such as credit card fraud,and intrusion detection,etc.Finding the rare abnormal behaviors or the outliers can be more interesting than finding the common patterns.This paper proposes a new outlier detection algorithm based on Local Deviation Factor(LDF).This algorithm counts the number of each point's LDF to reflect its isolation degree.The experimental results show that this algorithm can efficiently detect outliers and has higher efficiency than outliers detection algorithm LSC." @default.
- W96768657 created "2016-06-24" @default.
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- W96768657 date "2008-01-01" @default.
- W96768657 modified "2023-09-24" @default.
- W96768657 title "Outlier Detection Algorithm Based on Local Deviation Factor" @default.
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