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 "improved approximability result for test set with small redundancy"):
  Abstract: Test set with redundancy is one of the focuses in recent bioin- formatics research. Set cover greedy algorithm (SGA for short) is a com- monly used algorithm for test set with redundancy. This paper proves that the approximation ratio of SGA can be (2 1 2r )ln n + 3 2 ln r + O(lnln n) by using the potential function technique. This result is better than the approximation ratio 2ln n which directly derives from set mul- ticover, when r = o( ln n ln ln n ), and is an extension of the approximability results for plain test set.

Includes members:
  Member "a tighter analysis of setcover greedy algorithm for test set":
    also connected through other hyperedges:
      (none)
  Member "highly scalable algorithms for robust string barcoding":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a tighter analysis of setcover greedy algorithm for test set")
  Member "randomized rounding without solving the linear program":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "distributed edge connectivity in sublinear time")

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.DS(Data Structures and Algorithms)