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 "Two supervised learning approaches for name disambiguation in author citations"):
  Abstract: Due to name abbreviations, identical names, name misspellings, and pseudonyms in publications or bibliographies (citations), an author may have multiple names and multiple authors may share the same name. Such name ambiguity affects the performance of document retrieval, Web search, database integration, and may cause improper attribution to authors. We investigate two supervised learning approaches to disambiguate authors in the citations. One approach uses the naive Bayes probability model, a generative model; the other uses support vector machines (SVMs) [V. Vapnik (1995)] and the vector space representation of citations, a discriminative model. Both approaches utilize three types of citation attributes: coauthor names, the title of the paper, and the title of the journal or proceeding. We illustrate these two approaches on two types of data, one collected from the Web, mainly publication lists from homepages, the other collected from the DBLP citation databases.

Includes members:
  Member "Training a naive bayes classifier via the EM algorithm with a class distribution constraint":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Naive Bayes and Exemplar-based approaches to Word Sense Disambiguation revisited")
  Member "Web Appearance Disambiguation of Personal Names Based on Network Motif":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Named entity disambiguation by leveraging wikipedia semantic knowledge")
  Member "A Fuzzy Semisupervised Clustering Method: Application to the Classification of Scientific Publications":
    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: Computer science