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 compact representation for trips over networks built on self indexes"):
  Abstract: Abstract   Representing the movements of objects (trips) over a network in a compact way while retaining the capability of exploiting such data effectively is an important challenge of real applications. We present a new Compact Trip Representation (   CTR   ) that handles the spatio-temporal data associated with users’ trips over transportation networks. Depending on the network and types of queries, nodes in the network can represent intersections, stops, or even street segments.     CTR    represents separately sequences of nodes and the time instants when users traverse these nodes. The spatial component is handled with a data structure based on the well-known Compressed Suffix Array (CSA), which provides both a compact representation and interesting indexing capabilities. The temporal component is self-indexed with either a Hu–Tucker-shaped Wavelet-Tree or a Wavelet Matrix that solve range-interval queries efficiently. We show how    CTR    can solve relevant counting-based spatial, temporal, and spatio-temporal queries over large sets of trips. Experimental results show the space requirements (around 50–70% of the space needed by a compact non-indexed baseline) and query efficiency (most queries are solved in the range of 1–1000 µs) of    CTR   .

Includes members:
  Member "cinct compression and retrieval for massive vehicular trajectories via relative movement labeling":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "faster and smaller two level index for network based trajectories")
  Member "compact trip representation over networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "about birds project bioinformatics and information retrieval data structures analysis and design")
  Member "efficient and compact representations of some non canonical prefix free codes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "about birds project bioinformatics and information retrieval data structures analysis and design")
  Member "on compressing permutations and adaptive sorting":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on adaptive algorithms for maximum matching")
  Member "new algorithms on wavelet trees and applications to information retrieval":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "edge minimization in de bruijn graphs")
  Member "compressed text indexes from theory to practice":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "fmtree a fast locating algorithm of fm indexes for genomic data")
  Member "practical entropy compressed rank select dictionary":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "bitvectors with runs and the successor predecessor problem")

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)