Outlier Detection In Big Data
The dissertation focuses on scaling outlier detection to work both on huge static as well as on dynamic streaming datasets. Outliers are patterns in the data that do not conform to the expected behavior. Outlier detection techniques are broadly applied in applications ranging from credit fraud preve...
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Digital WPI
2016
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| Online Access: | https://digitalcommons.wpi.edu/etd-dissertations/82 https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=1081&context=etd-dissertations |