human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent groups of papers sharing a common citing paper.

Details of the hypergraph:
Center node: "Fish and Shrink. A next step towards e-cient case retrieval in large scaled case bases"
  Abstract: Keywords: Case-Based Reasoning, case retrieval, case representation This paper deals with the retrieval of useful cases in case-based reasoning. It focuses on the questions of what "useful" could mean and how the search for useful cases can be organized. We present the new search algorithm Fish and Shrink that is able to search quickly through the case base, even if the aspects that deflne usefulness are spontaneously combined at query time. We compare Fish and Shrink to other algorithms and show that most of them make an implicit closed world assumption. We flnally refer to a realization of the presented idea in the context of the prototype of the FABEL-Project 1 . The scenery is as follows. Previously collected cases are stored in a large scaled case base. An expert describes his problem and gives the aspects in which the requested case should be similar. The similarity measure thus given spontaneously shall now be used to explore the case base within a short time, shall present a required number of cases and make sure that none of the other cases is more similar. The question is now how to prepare the previously collected cases and how to deflne a retrieval algorithm which is able to deal with sponta neously user-deflned similarity measures.

Connected through hyperedge HE-1 (induced by source paper "Automatic Indexing, Retrieval and Reuse of Topologies in Architectual Layouts"):
  with members:
    - "Structural Similarity as Guidance in Case-Based Design"
    - "Structural Similarity and Adaptation"

Question: Please tell me which class the center node belongs to. The 7 classes are: Neural_Networks, Reinforcement_Learning, Probabilistic_Methods, Theory, Genetic_Algorithms, Case_Based, Rule_Learning. Directly output the class name.

gpt: Case_Based