human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "empirical big data research a systematic literature mapping"):
  Abstract: Background: Big Data is a relatively new eld of research and technology, and literature reports a wide variety of concepts labeled with Big Data. The maturity of a research eld can be measured in the number of publications containing empirical results. In this paper we present the current status of empirical research in Big Data. Method: We employed a systematic mapping method with which we mapped the collected research according to the labels Variety, Volume and Velocity. In addition, we addressed the application areas of Big Data. Results: We found that 151 of the assessed 1778 contributions contain a form of empirical result and can be mapped to one or more of the 3 V’s and 59 address an application area. Conclusions: The share of publications containing empirical results is well below the average compared to computer science research as a whole. In order to mature the research on Big Data, we recommend applying empirical methods to strengthen the condence in the reported results. Based on our trend analysis we consider Variety to be the most promising uncharted area in Big Data.

Includes members:
  Member "performance evaluation of a natural language processing approach applied in white collar crime investigation":
    also connected through other hyperedges:
      (none)
  Member "performance benefits of datampi a case study with bigdatabench":
    also connected through other hyperedges:
      (none)
  Member "multilevel hierarchical kernel spectral clustering for real life large scale complex networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "kernel spectral clustering and applications")
  Member "graphical evolutionary game for information diffusion over social networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "co contagion diffusion on multilayer networks")
  Member "the family of mapreduce and large scale data processing systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a survey on big data for network traffic monitoring and analysis")
  Member "optimizing i o for big array analytics":
    also connected through other hyperedges:
      (none)
  Member "pf ola a high performance framework for parallel on line aggregation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "adaptive sampling for rapidly matching histograms")
  Member "can the elephants handle the nosql onslaught":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a comparative analysis of state of the art sql on hadoop systems for interactive analytics")

Question: Please tell me which class the source paper 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.DL(Digital Libraries)