Outlier Detection in Logistic Regression: A Quest for Reliable Knowledge from Predictive Modeling and Classification

Outlier Detection in Logistic Regression: A Quest for Reliable Knowledge from Predictive Modeling and Classification

Logistic regression is well known to the data mining research community as a tool for modeling and classification. The presence of outliers is an unavoidable phenomenon in data analysis. Detection of outliers is important to increase the accuracy of the required estimates and for reliable knowledge...

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Bibliographic Details
Main Authors: Nurunnabi, Abdul, West, Geoff
Other Authors: Jilles Vreeken
Format: Conference Paper
Published: Conference Publishing Services 2012
Subjects:
data mining
influential observation
pattern recognition
knowledge discovery
reliability
regression
high leverge point
statistical computing
outlier
Online Access:http://hdl.handle.net/20.500.11937/13467

Internet

http://hdl.handle.net/20.500.11937/13467

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