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KAIS
2010
144views more  KAIS 2010»
9 years 10 months ago
Boosting support vector machines for imbalanced data sets
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
Benjamin X. Wang, Nathalie Japkowicz
HIS
2008
10 years 1 months ago
REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
Hernán Ahumada, Guillermo L. Grinblat, Luca...
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
10 years 1 months ago
Generating Diverse Ensembles to Counter the Problem of Class Imbalance
Abstract. One of the more challenging problems faced by the data mining community is that of imbalanced datasets. In imbalanced datasets one class (sometimes severely) outnumbers t...
T. Ryan Hoens, Nitesh V. Chawla
AI
2001
Springer
10 years 4 months ago
Concept-Learning in the Presence of Between-Class and Within-Class Imbalances
In a concept learning problem, imbalances in the distribution of the data can occur either between the two classes or within a single class. Yet, although both types of imbalances ...
Nathalie Japkowicz
ISDA
2009
IEEE
10 years 6 months ago
Improving Academic Performance Prediction by Dealing with Class Imbalance
Abstract—This paper introduces and compares some techniques used to predict the student performance at the university. Recently, researchers have focused on applying machine lear...
Nguyen Thai-Nghe, Andre Busche, Lars Schmidt-Thiem...
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