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: "Comparing a rule-based approach with a pattern-based approach at different levels of complexity of conceptual data modelling tasks"
  Abstract: It is well known that conceptual database design is an unusually difficult and error-prone task for novice designers. To address the problem, at least two training approaches--rule-based and pattern-based--have been suggested. A rule-based approach prescribes a sequence in modelling the conceptual modelling constructs, and the action to be taken at each stage. A pattern-based approach presents data modelling structures that occur frequently in practice, and prescribes guidelines on how to recognize these structures. This paper describes the conceptual framework, experimental design, and results of a laboratory study that employed novice designers to compare the effectiveness of the two training approaches (between-subjects) at three levels of task complexity (within subjects). Results indicate an interaction effect between treatment and task complexity. The rule-based approach was significantly better in the low-complexity and the high-complexity cases; there was no statistical difference in the medium-complexity case. Designer performance fell significantly as complexity increased. Overall, although the rule-based approach was not significantly superior to the pattern-based approach, the study still recommends the rule-based approach for novice designers given the significantly better performance at two out of three complexity levels.

Connected through hyperedge HE-1 (induced by source paper "Object class or association class? testing the user effect on cardinality interpretation"):
  with members:
    - "Analyse des Qualitätsdiskurses zur Modellverständlichkeit in experimentellen Studien"

Connected through hyperedge HE-2 (induced by source paper "Knowledge-based approaches to database design"):
  with members:
    - "Semantic data models"
    - "Evaluating the quality of entity relationship models"

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