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: "introducing dendritic cells as a novel immune inspired algorithm for anomoly detection"
  Abstract: Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system. Research into this family of cells has revealed that they perform the role of coordinating T-cell based immune responses, both reactive and for generating tolerance. We have derived an algorithm based on the functionality of these cells, and have used the signals and differentiation pathways to build a control mechanism for an artificial immune system. We present our algorithmic details in addition to some preliminary results, where the algorithm was applied for the purpose of anomaly detection. We hope that this algorithm will eventually become the key component within a large, distributed immune system, based on sound immunological concepts.

Connected through hyperedge HE-1 (induced by source paper "negative selection approach application in network intrusion detection systems"):
  with members:
    - "further exploration of the dendritic cell algorithm antigen multiplier and time windows"
    - "artificial immune systems tutorial"
    - "immune system approaches to intrusion detection a review"
    - "the danger theory and its application to artificial immune systems"

Connected through hyperedge HE-2 (induced by source paper "the dendritic cell algorithm for intrusion detection"):
  with members:
    - "integrating real time analysis with the dendritic cell algorithm through segmentation"
    - "further exploration of the dendritic cell algorithm antigen multiplier and time windows"
    - "exploration of the dendritic cell algorithm using the duration calculus"
    - "the application of a dendritic cell algorithm to a robotic classifier"
    - "pca 4 dca the application of principal component analysis to the dendritic cell algorithm"
    - "articulation and clarification of the dendritic cell algorithm"
    - "dca for bot detection"
    - "immune system approaches to intrusion detection a review"

Connected through hyperedge HE-3 (induced by source paper "a ddos aware ids model based on danger theory and mobile agents"):
  with members:
    - "articulation and clarification of the dendritic cell algorithm"

Connected through hyperedge HE-4 (induced by source paper "information fusion for anomaly detection with the dendritic cell algorithm"):
  with members:
    - "towards a conceptual framework for innate immunity"
    - "articulation and clarification of the dendritic cell algorithm"
    - "libtissue implementing innate immunity"
    - "dendritic cells for anomaly detection"

Connected through hyperedge HE-5 (induced by source paper "further exploration of the dendritic cell algorithm antigen multiplier and time windows"):
  with members:
    - "dendritic cells for syn scan detection"
    - "articulation and clarification of the dendritic cell algorithm"

Connected through hyperedge HE-6 (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"
    - "information fusion for anomaly detection with the dendritic cell algorithm"
    - "detecting bots based on keylogging activities"
    - "dca for bot detection"

Connected through hyperedge HE-7 (induced by source paper "articulation and clarification of the dendritic cell algorithm"):
  with members:
    - "towards a conceptual framework for innate immunity"
    - "libtissue implementing innate immunity"
    - "dendritic cells for anomaly detection"

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)