Outlier Detection Using A New Hybrid Approach On Mixed Dataset

by Olumide Babalola

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"