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 "worst case efficient single and multiple string matching in the ram model"):
  Abstract: In this paper, we explore worst-case solutions for the problems of pattern and multi-pattern matching on strings in the RAM model with word length w. In the first problem, we have a pattern p of length m over an alphabet of size σ, and given any text T of length n, where each character is encoded using log s bit, we wish to find all occurrences of p. For the multi-pattern matching problem we have a set S of d patterns of total length m and a query on a text T consists in finding all the occurrences in T of the patterns in S (in the following we refer by occ to the number of reported occurrences). As each character of the text is encoded using log σ bits and we can read w bits in constant time in the RAM model, the best query time for the two problems which can only possibly be achieved by reading Θ(w/ log σ) consecutive characters, is O(nlog σ/w + occ). In this paper, we present two results. The first result is that using O(m) words of space, single pattern matching queries can be answered in time O(n(log m/m + log σ/w) + occ), and multiple pattern matching queries answered in time O(n(log d+log y+log log m/y + log σ/w)+ occ), and multiple pattern matching queries answered in time O(nlog d+log y+log logm/y + log σ/w )+occ), where y is the length of the shortest pattern. Our second result is a variant of the first result which uses the four Russian technique to remove the dependence on the shortest pattern length at the expense of using an additional space t. It answers to multi-pattern matching queries in time O(nlog d+log logσ t+log log m/logσ t + occ) using O(m + t) words of space.

Includes members:
  Member "succinct dictionary matching with no slowdown":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the hardness and inapproximability of recognizing wheeler graphs")
  Member "fast searching in packed strings":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "exact online string matching bibliography")

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)