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: "Beyond Correlation: Bringing Artificial Intelligence to Events Data"
  Abstract: The Feature Vector Editor offers a user-extensible environment for exploratory data analysis. Several empirical studies have applied this environment to the SHER-FACS International Conflict Management dataset. Current analysis techniques include boolean analysis, temporal analysis, and automatic rule learning. Implemented portably in ANSI Common Lisp and the Common Lisp Interface Manager (CLIM), the system features an advanced interface that makes it intuitive for people to manipulate data and discover significant relationships. The system encapsulates data within objects and defines generic protocols that mediate all interactions between data, users and analysis algorithms. Generic data protocols make possible rapid integration of new datasets and new analytical algorithms with heterogeneous data formats. More sophisticated research reformulates SHERFACS conflict codings as machine-parsable narratives suitable for processing into semantic representations by the RELATUS Natural Language System. Experiments with 244 SHERFACS cases demonstrated the feasibility of building knowledge bases from synthetic texts exceeding 600 pages.

Connected through hyperedge HE-1 (induced by source paper "A Common LISP Hypermedia Server"):
  with members:
    (none)

Connected through hyperedge HE-2 (induced by source paper "Machine Learning Methods for International Conflict Databases: A Case Study in Predicting Mediation Outcome"):
  with members:
    - "Irrelevant Features and the Subset Selection Problem"
    - "Structural Regression Trees"
    - "Automatic Parameter Selection by Minimizing Estimated Error"
    - "Knowledge Discovery in International Conflict Databases"

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: Rule_Learning