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 "generic inverted index on the gpu"):
  Abstract: Data variety, as one of the three Vs of the Big Data, is manifested by a growing number of complex data types such as documents, sequences, trees, graphs and high dimensional vectors. To perform similarity search on these data, existing works mainly choose to create customized indexes for different data types. Due to the diversity of customized indexes, it is hard to devise a general parallelization strategy to speed up the search. In this paper, we propose a generic inverted index on the GPU (called GENIE), which can support similarity search of multiple queries on various data types. GENIE can effectively support the approximate nearest neighbor search in different similarity measures through exerting Locality Sensitive Hashing schemes, as well as similarity search on original data such as short document data and relational data. Extensive experiments on different real-life datasets demonstrate the efficiency and effectiveness of our system.

Includes members:
  Member "bayesian locality sensitive hashing for fast similarity search":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "blocking and filtering techniques for entity resolution a survey")
  Member "boosting multi core reachability performance with shared hash tables":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a generic inverted index framework for similarity search on the gpu technical report")

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)