human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups papers that share a common citing paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "CBR on Semi-structured Documents: The ExperienceBook and the FAllQ Project"):
  Abstract: In this article, we present a case-based approach on flexible query answering systems in two different application areas: The ExperienceBook supports technical diagnosis in the field of system administration. In the FAllQ project we use our CBR system for document retrieval in an industrial setting. The objective of these systems is to manage knowledge stored in less structured documents. The internal case memory is implemented as a Case Retrieval Net. This allows to handle large case bases with an efficient retrieval process. In order to provide multi user access we chose the client server model combined with a web interface.

Includes members:
  Member "Case Retrieval Nets: Basic Ideas and Extensions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Preparing Case Retrieval Nets for Distributed Processing")
  Member "CBR for Document Retrieval: The FAllQ Project":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Applying Case Retrieval Nets to Diagnostic Tasks in Technical Domains")

Question: Please tell me which class the citing paper (i.e., the source paper of the center hyperedge) 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