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: "information fusion for anomaly detection with the dendritic cell algorithm"
  Abstract: Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system, providing the initial detection of pathogenic invaders. Research into this family of cells has revealed that they perform information fusion which directs immune responses. We have derived a Dendritic Cell Algorithm based on the functionality of these cells, by modelling the biological signals and differentiation pathways to build a control mechanism for an artificial immune system. We present algorithmic details in addition to experimental results, when the algorithm was applied to anomaly detection for the detection of port scans. The results show the Dendritic Cell Algorithm is sucessful at detecting port scans.

Connected through hyperedge HE-1 (induced by source paper "a review of feature and data fusion with medical images"):
  with members:
    - "medical image fusion a survey of the state of the art"
    - "information fusion in the immune system"

Connected through hyperedge HE-2 (induced by source paper "medical image fusion a survey of the state of the art"):
  with members:
    - "information fusion in the immune system"

Connected through hyperedge HE-3 (induced by source paper "the deterministic dendritic cell algorithm"):
  with members:
    - "the application of a dendritic cell algorithm to a robotic classifier"
    - "articulation and clarification of the dendritic cell algorithm"
    - "dendritic cells for anomaly detection"

Connected through hyperedge HE-4 (induced by source paper "performance evaluation of dca and src on a single bot detection"):
  with members:
    - "biological inspiration for artificial immune systems"
    - "dendritic cells for syn scan detection"
    - "introducing dendritic cells as a novel immune inspired algorithm for anomoly detection"
    - "detecting bots based on keylogging activities"
    - "dca for bot detection"

Connected through hyperedge HE-5 (induced by source paper "detecting danger the dendritic cell algorithm"):
  with members:
    - "dendritic cells for syn scan detection"
    - "information fusion in the immune system"
    - "the application of a dendritic cell algorithm to a robotic classifier"
    - "articulation and clarification of the dendritic cell algorithm"

Connected through hyperedge HE-6 (induced by source paper "dca for bot detection"):
  with members:
    - "biological inspiration for artificial immune systems"
    - "dendritic cells for syn scan detection"

Connected through hyperedge HE-7 (induced by source paper "sensing danger innate immunology for intrusion detection"):
  with members:
    - "dendritic cells for syn scan detection"
    - "towards a conceptual framework for innate immunity"
    - "the application of a dendritic cell algorithm to a robotic classifier"
    - "articulation and clarification of the dendritic cell algorithm"
    - "immune system approaches to intrusion detection a review"
    - "libtissue implementing innate immunity"
    - "dendritic cells for anomaly detection"
    - "the danger theory and its application to artificial immune systems"

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)