Logistic regression methods for classification of imbalanced data sets

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Logistic regression methods for classification of imbalanced data sets

Classification of imbalanced data sets is one of the important researches in Data Mining community, since the data sets in many real-world problems mostly are imbalanced class distribution. This thesis aims to develop the simple and effective imbalanced classification algorithms by previously improv...

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Bibliographic Details
Main Author:	Santi Puteri Rahayu, -
Format:	Thesis
Language:	English
Published:	2012
Subjects:	QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/3649/ http://umpir.ump.edu.my/id/eprint/3649/1/Logistic%20regression%20methods%20for%20classification%20of%20imbalanced%20data%20sets.pdf

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