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 "bivariate cluster and suitability analysis of nosql solutions for different application areas"):
  Abstract: Big data systems development is full of challenges in view of the variety of application areas and domains that this technology promises to serve. Typically, fundamental design decisions involved in big data systems design include choosing appropriate storage and computing infrastructures. In this age of heterogeneous systems that integrate different technologies for development of an optimized solution to a specific real world problem, big data systems are not an exception to any such rule. As far as the storage aspect of any big data system is concerned, the primary facet in this regard is a storage infrastructure and NoSQL is the right technology that fulfills its requirements. However, every big data application has variable data characteristics and thus, the corresponding data fits into a different data model. Moreover, the requirements of different applications vary on the basis of budget and functionality. This paper presents a feature analysis of 80 NoSQL solutions, elaborating on the criteria and points that a developer must consider while making a possible choice. Bivariate analysis of dataset created for the identified NoSQL solutions was performed to establish relationship between 9 features. Furthermore, cluster analysis of the dataset was used to create categories of solutions to present a statistically supported classification scheme. Finally, applications for different solutions were reviewed and classified under domain-specific categories. Random forest classification was used to determine the most relevant features for applications and correspondingly a decision tree-based prediction model was proposed, implemented and deployed in the form of a web application to determine the suitability of a NoSQL solution for an application area.

Includes members:
  Member "a billion updates per second using 30 000 hierarchical in memory d4m databases":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "storage solutions for big data systems a qualitative study and comparison")
  Member "foundationdb record layer a multi tenant structured datastore":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "storage solutions for big data systems a qualitative study and comparison")
  Member "effects of storage heterogeneity in distributed cache systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "storage solutions for big data systems a qualitative study and comparison")
  Member "database as a service current issues and its future":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "storage solutions for big data systems a qualitative study and comparison")
  Member "polypus a big data self deployable architecture for microblogging text extraction and real time sentiment analysis":
    also connected through other hyperedges:
      (none)
  Member "a stitch in time saves nine sparql querying of property graphs using gremlin traversals":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "storage solutions for big data systems a qualitative study and comparison")
  Member "blocktag design and applications of a tagging system for blockchain analysis":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "investigating mmm ponzi scheme on bitcoin")
  Member "g core a core for future graph query languages":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "graph generators state of the art and open challenges")

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.DB(Databases)