Outlier Detection Using A New Hybrid Approach On Mixed Dataset
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Data mining is a process of extracting hidden and useful information from the data. Outlier detection is a fundamental part of data mining and has huge attention from the research community recently. An outlier is data object that deviates from other observations. Detecting outliers has important applications in data cleaning as well as in the mining of abnormal points for fraud detection, stock market analysis, intrusion detection, marketing, network...
Format:Paperback
Language:English
ISBN:6202553553
ISBN13:9786202553551
Release Date:June 2020
Publisher:LAP Lambert Academic Publishing
Length:64 Pages
Weight:0.23 lbs.
Dimensions:0.1" x 6.0" x 9.0"
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