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: "sase complex event processing over streams"
  Abstract: RFID technology is gaining adoption on an increasing scale for tracking and monitoring purposes. Wide deployments of RFID devices will soon generate an unprecedented volume of data. Emerging applications require the RFID data to be filtered and correlated for complex pattern detection and transformed to events that provide meaningful, actionable information to end applications. In this work, we design and develop SASE, a com-plex event processing system that performs such data-information transformation over real-time streams. We design a complex event language for specifying application logic for such transformation, devise new query processing techniques to effi-ciently implement the language, and develop a comprehensive system that collects, cleans, and processes RFID data for deliv-ery of relevant, timely information as well as storing necessary data for future querying. We demonstrate an initial prototype of SASE through a real-world retail management scenario.

Connected through hyperedge HE-1 (induced by source paper "a survey of challenges for runtime verification from advanced application domains beyond software"):
  with members:
    - "adventures in monitorability from branching to linear time and back again"
    - "after you please browser extensions order attacks and countermeasures"
    - "selective monitoring"
    - "monitoring data minimisation"
    - "on the monitoring of decentralized specifications semantics properties analysis and simulation"
    - "an algebraic framework for runtime verification"
    - "learning to protect communications with adversarial neural cryptography"
    - "a web based tool for analysing normative documents in english"

Connected through hyperedge HE-2 (induced by source paper "an adaptive parallel processing strategy in complex event processing systems over data streams"):
  with members:
    - "generalized evidence theory"

Connected through hyperedge HE-3 (induced by source paper "distributed data stream processing and edge computing a survey on resource elasticity and future directions"):
  with members:
    - "big data computing and clouds"

Connected through hyperedge HE-4 (induced by source paper "city data fusion sensor data fusion in the internet of things"):
  with members:
    - "scaling of city attractiveness for foreign visitors through big data of human economical and social media activity"
    - "a survey on internet of things from industrial market perspective"
    - "context aware computing for the internet of things a survey"
    - "mosden an internet of things middleware for resource constrained mobile devices"
    - "sensing as a service and big data"
    - "sensing as a service model for smart cities supported by internet of things"
    - "ca4iot context awareness for internet of things"

Connected through hyperedge HE-5 (induced by source paper "reactive reasoning with the event calculus"):
  with members:
    - "incremental learning of event definitions with inductive logic programming"
    - "on the implementation of the probabilistic logic programming language problog"
    - "knowledge representation concepts for automated sla management"

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.DB(Databases)