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 "longest gapped repeats and palindromes"):
  Abstract: A gapped repeat (respectively, palindrome) occurring in a word w is a factor uvu (respectively, u R vu) of w. In such a repeat (palin- drome) u is called the arm of the repeat (respectively, palindrome), while v is called the gap. We show how to compute eciently, for every position i of the word w, the longest gapped repeat and palindrome occurring at that position, provided that the length of the gap is subject to various types of restrictions. That is, that for each position i we compute the longest prex u of w(i::n) such that uv (respectively, u R v) is a sux of

Includes members:
  Member "optimal searching of gapped repeats in a word":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "minimal suffix and rotation of a substring in optimal time")
  Member "lempel ziv factorization may be harder than computing all runs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "faster longest common extension queries in strings over general alphabets")
  Member "searching of gapped repeats and subrepetitions in a word":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "matching patterns with variables")
  Member "pattern matching in lempel ziv compressed strings fast simple and deterministic":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "optimal time dictionary compressed indexes")
  Member "a minimal periods algorithm with applications":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "detecting one variable patterns")

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)