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 "Combining Data Mining and Machine Learning for Effective User Profiling"):
  Abstract: This paper describes the automatic design of methods for detecting fraudulent behavior. Much of the design is accomplished using a series of machine learning methods. In particular, we combine data mining and constructive induction with more standard machine learning techniques to design methods for detecting fraudulent usage of cellular telephones based on profiling customer behavior. Specifically, we use a rule- learning program to uncover indicators of fraudulent behavior from a large database of cellular calls. These indicators are used to create profilers, which then serve as features to a system that combines evidence from multiple profilers to generate high-confidence alarms. Experiments indicate that this automatic approach performs nearly as well as the best hand-tuned methods for detecting fraud.

Includes members:
  Member "Learning Decision Lists Using Homogeneous Rules":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Stochastically Guided Disjunctive Version Space Learning")
  Member "Data Mining and Knowledge Discovery,  Adaptive Fraud Detection":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Learning Decision Lists Using Homogeneous Rules")

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: Rule_Learning