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Foundations of data imbalance and solutions for a data democracy

Ajay Kulkarni 1 , Deri Chong 2 , and Feras A. Batarseh 3       1 The Department of Computational and Data Sciences, College of Science, George Mason University, Fairfax, VA, United States      2 Volgenau School of Engineering, George Maon University, Fairfax, VA, United States      3 Graduate School of Arts & Sciences, Data Analytics Program, Georgetown University, Washington, D.C., United States

Abstract

Dealing with imbalanced data is a prevalent problem while performing classification on the datasets. Many times, this problem contributes to bias while making decisions or implementing policies. Thus, it is vital to understand the factors which cause imbalance in the ...

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