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: "a constraint programming approach for mining sequential patterns in a sequence database"
  Abstract: Constraint-based pattern discovery is at the core of numerous data mining tasks. Patterns are extracted with respect to a given set of constraints (frequency, closedness, size, etc). In the context of sequential pattern mining, a large number of devoted techniques have been developed for solving particular classes of constraints. The aim of this paper is to investigate the use of Constraint Programming (CP) to model and mine sequential patterns in a sequence database. Our CP approach offers a natural way to simultaneously combine in a same framework a large set of constraints coming from various origins. Experiments show the feasibility and the interest of our approach.

Connected through hyperedge HE-1 (induced by source paper "hybrid asp based approach to pattern mining"):
  with members:
    - "reductions for frequency based data mining problems"
    - "knowledge representation analysis of graph mining"
    - "an efficient algorithm for mining frequent sequence with constraint programming"
    - "graph isomorphism in quasipolynomial time"
    - "constraint based sequence mining using constraint programming"
    - "using answer set programming for pattern mining"
    - "design and implementation of aggregate functions in the dlv system"

Connected through hyperedge HE-2 (induced by source paper "efficiency analysis of asp encodings for sequential pattern mining tasks"):
  with members:
    - "a sat model to mine flexible sequences in transactional datasets"
    - "constraint based sequence mining using constraint programming"
    - "predicate logic as a modeling language modeling and solving some machine learning and data mining problems with idp3"
    - "using answer set programming for pattern mining"
    - "clingo asp control preliminary report"
    - "the dlv system for knowledge representation and reasoning"

Connected through hyperedge HE-3 (induced by source paper "a global constraint for mining sequential patterns with gap constraint"):
  with members:
    - "constraint based sequence mining using constraint programming"
    - "prefix projection global constraint for sequential pattern mining"

Connected through hyperedge HE-4 (induced by source paper "constraint based sequence mining using constraint programming"):
  with members:
    - "the long and the short of it summarising event sequences with serial episodes"

Connected through hyperedge HE-5 (induced by source paper "prefix projection global constraint for sequential pattern mining"):
  with members:
    - "constraint based sequence mining using constraint programming"

Connected through hyperedge HE-6 (induced by source paper "using answer set programming for pattern mining"):
  with members:
    - "mining closed episodes with simultaneous events"
    - "mining closed strict episodes"
    - "a unified view of automata based algorithms for frequent episode discovery"

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.AI(Artificial Intelligence)