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 "a tale of santa claus hypergraphs and matroids"):
  Abstract: A well-known problem in scheduling and approximation algorithms is the Santa Claus problem. Suppose that Santa Claus has a set of gifts, and he wants to distribute them among a set of children so that the least happy child is made as happy as possible. Here, the value that a child $i$ has for a present $j$ is of the form $p_{ij} \in \{ 0,p_j\}$. A polynomial time algorithm by Annamalai et al. gives a $12.33$-approximation and is based on a modification of Haxell's hypergraph matching argument. #R##N#In this paper, we introduce a matroid version of the Santa Claus problem. Our algorithm is also based on Haxell's augmenting tree, but with the introduction of the matroid structure we solve a more general problem with cleaner methods. Our result can then be used as a blackbox to obtain a $(4+\varepsilon)$-approximation for Santa Claus. This factor also compares against a natural, compact LP for Santa Claus.

Includes members:
  Member "integrality gap of the configuration lp for the restricted max min fair allocation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "restricted max min allocation approximation and integrality gap")
  Member "local search breaks 1 75 for graph balancing":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "inapproximability results for scheduling with interval and resource restrictions")
  Member "restricted max min fair allocation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "inapproximability results for scheduling with interval and resource restrictions")
  Member "finding perfect matchings in bipartite hypergraphs":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "hierarchical decomposition mechanism by konig egervary layer subgraph with application on vertex cover")
  Member "santa claus schedules jobs on unrelated machines":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "weighted completion time minimization for unrelated machines via iterative fair contention resolution")
  Member "on allocating goods to maximize fairness":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "weighted completion time minimization for unrelated machines via iterative fair contention resolution")

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)