human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups authors who co-authored the same paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "CLASSIFICATION OF IMBALANCED DATA: A REVIEW"):
  Abstract: Classification of data with imbalanced class distribution has encountered a significant drawback of the performance attainable by most standard classifier learning algorithms which assume a relatively balanced class distribution and equal misclassification costs. This paper provides a review of the classification of imbalanced data regarding: the application domains; the nature of the problem; the learning difficulties with standard classifier learning algorithms; the learning objectives and evaluation measures; the reported research solutions; and the class imbalance problem in the presence of multiple classes.

Includes members:
  Member "Automatically countering imbalance and its empirical relationship to cost":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Tree Induction for Probability-Based Ranking")
  Member "Dealing with the evaluation of supervised classification algorithms":
    also connected through other hyperedges:
      (none)
  Member "A hybrid cost-sensitive ensemble for imbalanced breast thermogram classification":
    also connected through other hyperedges:
      (none)

Question: Please tell me which research area the co-authored paper (i.e., the source paper of the center hyperedge) belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Mathematics