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: "further exploration of the dendritic cell algorithm antigen multiplier and time windows"
  Abstract: As an immune-inspired algorithm, the Dendritic Cell Algorithm (DCA), produces promising performances in the field of anomaly detection. This paper presents the application of the DCA to a standard data set, the KDD 99 data set. The results of different implementation versions of the DXA, including the antigen multiplier and moving time windows are reported. The real-valued Negative Selection Algorithm (NSA) using constant-sized detectors and the C4.5 decision tree algorithm are used, to conduct a baseline comparison. The results suggest that the DCA is applicable to KDD 99 data set, and the antigen multiplier and moving time windows have the same effect on the DCA for this particular data set. The real-valued NSA with constant-sized detectors is not applicable to the data set, and the C4.5 decision tree algorithm provides a benchmark of the classification performance for this data set.

Connected through hyperedge HE-1 (induced by source paper "negative selection approach application in network intrusion detection systems"):
  with members:
    - "introducing dendritic cells as a novel immune inspired algorithm for anomoly detection"
    - "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"
    - "introducing dendritic cells as a novel immune inspired algorithm for anomoly detection"
    - "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 "theoretical formulation and analysis of the deterministic dendritic cell algorithm"):
  with members:
    - "the deterministic dendritic cell algorithm"
    - "integrating real time analysis with the dendritic cell algorithm through segmentation"
    - "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"
    - "dca for bot detection"

Connected through hyperedge HE-4 (induced by source paper "integrating real time analysis with the dendritic cell algorithm through segmentation"):
  with members:
    - "the deterministic dendritic cell algorithm"
    - "dendritic cells for syn scan detection"
    - "the application of a dendritic cell algorithm to a robotic classifier"
    - "dca for bot detection"

Connected through hyperedge HE-5 (induced by source paper "exploration of the dendritic cell algorithm using the duration calculus"):
  with members:
    - "integrating real time analysis with the dendritic cell algorithm through segmentation"
    - "the application of a dendritic cell algorithm to a robotic classifier"
    - "dca for bot detection"

Connected through hyperedge HE-6 (induced by source paper "artificial dendritic cells multi faceted perspectives"):
  with members:
    - "the deterministic dendritic cell algorithm"
    - "the application of a dendritic cell algorithm to a robotic classifier"
    - "articulation and clarification of the dendritic cell algorithm"
    - "dca for bot detection"
    - "libtissue implementing innate immunity"

Connected through hyperedge HE-7 (induced by source paper "pca 4 dca the application of principal component analysis to the dendritic cell algorithm"):
  with members:
    - "the deterministic dendritic cell algorithm"
    - "integrating real time analysis with the dendritic cell algorithm through segmentation"

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)