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: "web usage mining using artificial ant colony clustering and linear genetic programming"
  Abstract: The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose from several alternatives, the business community has realized the necessity of intelligent marketing strategies and relationship management. Web usage mining attempts to discover useful knowledge from the secondary data obtained from the interactions of the users with the Web. Web usage mining has become very critical for effective Web site management, creating adaptive Web sites, business and support services, personalization, network traffic flow analysis and so on. The study of ant colonies behavior and their self-organizing capabilities is of interest to knowledge retrieval/management and decision support systems sciences, because it provides models of distributed adaptive organization, which are useful to solve difficult optimization, classification, and distributed control problems, among others [Ramos, V. et al. (2002), (2000)]. In this paper, we propose an ant clustering algorithm to discover Web usage patterns (data clusters) and a linear genetic programming approach to analyze the visitor trends. Empirical results clearly show that ant colony clustering performs well when compared to a self-organizing map (for clustering Web usage patterns) even though the performance accuracy is not that efficient when compared to evolutionary-fuzzy clustering (i-miner) [Abraham, A. (2003)] approach.

Connected through hyperedge HE-1 (induced by source paper "evolving a stigmergic self organized data mining"):
  with members:
    - "self organizing the abstract canvas as a swarm habitat for collective memory perception and cooperative distributed creativity"
    - "self organized stigmergic document maps environment as a mechanism for context learning"
    - "on the implicit and on the artificial morphogenesis and emergent aesthetics in autonomous collective systems"
    - "artificial ant colonies in digital image habitats a mass behaviour effect study on pattern recognition"
    - "business intelligence from web usage mining"
    - "swarms on continuous data"
    - "web mining research a survey"

Connected through hyperedge HE-2 (induced by source paper "swarming around shellfish larvae"):
  with members:
    - "from feature extraction to classification a multidisciplinary approach applied to portuguese granites"
    - "self organized stigmergic document maps environment as a mechanism for context learning"
    - "evolving a stigmergic self organized data mining"
    - "artificial ant colonies in digital image habitats a mass behaviour effect study on pattern recognition"
    - "swarms on continuous data"

Connected through hyperedge HE-3 (induced by source paper "antids self organized ant based clustering model for intrusion detection system"):
  with members:
    - "from feature extraction to classification a multidisciplinary approach applied to portuguese granites"
    - "self organized stigmergic document maps environment as a mechanism for context learning"
    - "evolving a stigmergic self organized data mining"
    - "artificial ant colonies in digital image habitats a mass behaviour effect study on pattern recognition"
    - "swarms on continuous data"

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)