human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "measuring and computing database inconsistency via repairs"
  Abstract: We propose a generic numerical measure of inconsistency of a database with respect to integrity constraints that is based on a repair semantics. A particular measure is investigated, with mechanisms for computing it via answer-set programs.

Connected through hyperedge HE-1 (induced by source paper "principles of progress indicators for database repairing"):
  with members:
    - "research directions for principles of data management dagstuhl perspectives workshop 16151"
    - "holoclean holistic data repairs with probabilistic inference"
    - "computing optimal repairs for functional dependencies"
    - "matching dependencies with arbitrary attribute values semantics query answering and integrity constraints"
    - "complexity of consistent query answering in databases under cardinality based and incremental repair semantics"

Connected through hyperedge HE-2 (induced by source paper "specifying and computing causes for query answers in databases via database repairs and repair programs"):
  with members:
    - "consistency and trust in peer data exchange systems"
    - "quantifying causal effects on query answering in databases"
    - "achieving data privacy through secrecy views and null based virtual updates"
    - "the complexity of causality and responsibility for query answers and non answers"
    - "prioritized repairing and consistent query answering in relational databases"
    - "the dlv system for knowledge representation and reasoning"
    - "complexity of consistent query answering in databases under cardinality based and incremental repair semantics"
    - "minimal change integrity maintenance using tuple deletions"

Connected through hyperedge HE-3 (induced by source paper "computing optimal repairs for functional dependencies"):
  with members:
    - "principles of progress indicators for database repairing"
    - "repair based degrees of database inconsistency computation and complexity"
    - "holoclean holistic data repairs with probabilistic inference"
    - "prioritized repairing and consistent query answering in relational databases"
    - "complexity of consistent query answering in databases under cardinality based and incremental repair semantics"
    - "minimal change integrity maintenance using tuple deletions"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.DB(Databases)