NDLI: Surrounding neighborhood-based SMOTE for learning from imbalanced data sets

Content Provider	Springer Nature Link
Author	García, V. Sánchez, J. S. Martín Félez, R. Mollineda, R. A.
Copyright Year	2012
Abstract	Many traditional approaches to pattern classification assume that the problem classes share similar prior probabilities. However, in many real-life applications, this assumption is grossly violated. Often, the ratios of prior probabilities between classes are extremely skewed. This situation is known as the class imbalance problem. One of the strategies to tackle this problem consists of balancing the classes by resampling the original data set. The SMOTE algorithm is probably the most popular technique to increase the size of the minority class by generating synthetic instances. From the idea of the original SMOTE, we here propose the use of three approaches to surrounding neighborhood with the aim of generating artificial minority instances, but taking into account both the proximity and the spatial distribution of the examples. Experiments over a large collection of databases and using three different classifiers demonstrate that the new surrounding neighborhood-based SMOTE procedures significantly outperform other existing over-sampling algorithms.
Starting Page	347
Ending Page	362
Page Count	16
File Format	PDF
ISSN	21926352
Journal	Progress in Artificial Intelligence
Volume Number	1
Issue Number	4
e-ISSN	21926360
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-10-07
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Nearest centroid neighborhood Data Mining and Knowledge Discovery Computer Imaging, Vision, Pattern Recognition and Graphics Over-sampling Surrounding neighborhood SMOTE Computational Intelligence Imbalance Control, Robotics, Mechatronics Relative neighborhood graph Gabriel graph Artificial Intelligence (incl. Robotics) Language Translation and Linguistics
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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