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: "improved approximation algorithms for the min max selecting items problem"
  Abstract: We give a simple deterministic $O(\log K / \log\log K)$ approximation algorithm for the Min-Max Selecting Items problem, where $K$ is the number of scenarios. While our main goal is simplicity, this result also improves over the previous best approximation ratio of $O(\log K)$ due to Kasperski, Kurpisz, and Zieli\'nski (Information Processing Letters (2013)). Despite using the method of pessimistic estimators, the algorithm has a polynomial runtime also in the RAM model of computation. We also show that the LP formulation for this problem by Kasperski and Zieli\'nski (Annals of Operations Research (2009)), which is the basis for the previous work and ours, has an integrality gap of at least $\Omega(\log K / \log\log K)$.

Connected through hyperedge HE-1 (induced by source paper "approximating multiobjective combinatorial optimization problems with the owa criterion"):
  with members:
    - "using the wowa operator in robust discrete optimization problems"
    - "combinatorial optimization problems with uncertain costs and the owa criterion"
    - "exact algorithms for owa optimization in multiobjective spanning tree problems"

Connected through hyperedge HE-2 (induced by source paper "robust recoverable and two stage selection problems"):
  with members:
    - "recoverable robust spanning tree problem under interval uncertainty representations"
    - "robust optimization with incremental recourse"
    - "analytical approach to parallel repetition"
    - "on the approximability of minmax regret network optimization problems"

Connected through hyperedge HE-3 (induced by source paper "approximability of the robust representatives selection problem"):
  with members:
    - "on the approximability of minmax regret network optimization problems"

Connected through hyperedge HE-4 (induced by source paper "combinatorial optimization problems with uncertain costs and the owa criterion"):
  with members:
    - "exact algorithms for owa optimization in multiobjective spanning tree problems"
    - "on the approximability of minmax regret network optimization problems"

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.DS(Data Structures and Algorithms)