human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "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.

Connected through hyperedge HE-1 (induced by source paper "A Fuzzy Semisupervised Clustering Method: Application to the Classification of Scientific Publications"):
  with members:
    (none)

Connected through hyperedge HE-2 (induced by source paper "Web Appearance Disambiguation of Personal Names Based on Network Motif"):
  with members:
    - "Named entity disambiguation by leveraging wikipedia semantic knowledge"

Connected through hyperedge HE-3 (induced by source paper "Training a naive bayes classifier via the EM algorithm with a class distribution constraint"):
  with members:
    - "Naive Bayes and Exemplar-based approaches to Word Sense Disambiguation revisited"

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science