The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 28-413
Full Name: Vicente García
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: Av. Sos Baynat s/n, 12071, Castelló de la Plana
Country: SPAIN
Tel: +34 964387036
Tel prefix:
Fax: +34 964 72 84 35
E-mail address: vgarciaj@hotmail.com
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Title of the Paper: Surrounding--SMOTE Algorithms for Learning from Imbalanced Data Sets
Authors as they appear in the Paper: V. García, J. S. Sánchez, R. A. Mollineda
Email addresses of all the authors: sanchez@uji.es,mollined@uji.es
Number of paper pages: 10
Abstract: Many traditional approaches to pattern classification assume that the problem classes share similar prior probabilities. However, in many real-world problems, this assumption is grossly violated. Often, the ratios of prior probabilities between classes are extremely skewed. This situation is known as the imbalance problem. One of the methods to tackle this problem consists to balancing the class by resampling the original data set. The SMOTE algorithm is a most popular method to increase the size of the minority class by adding new synthetic minority instances. From the original SMOTE algorithm, we here propose the use of three surrounding neighborhood approaches with the aim of generating artificial minority examples, but taking into account the proximity and the spatial distribution of the examples. This paper show the convenience to use surrounding methods in SMOTE over ten databases and four classifiers.
Keywords: Imbalance, Over-sampling, Surrounding neighborhood, Smote, Proximity graph, K-ncn
EXTENSION of the file: .pdf
Special (Invited) Session: On the Use of Surrounding Neighbors for Synthetic Over-Sampling of the Minority Class
Organizer of the Session: 599-155
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