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 "belga b trees"):
  Abstract: We revisit self-adjusting external memory tree data structures, which combine the optimal (and practical) worst-case I/O performances of B-trees, while adapting to the online distribution of queries. Our approach is analogous to undergoing efforts in the BST model, where Tango Trees (Demaine et al. 2007) were shown to be $O(\log\log N)$-competitive with the runtime of the best offline binary search tree on every sequence of searches. Here we formalize the B-Tree model as a natural generalization of the BST model. We prove lower bounds for the B-Tree model, and introduce a B-Tree model data structure, the Belga B-tree, that executes any sequence of searches within a $O(\log \log N)$ factor of the best offline B-tree model algorithm, provided $B=\log^{O(1)}N$. We also show how to transform any static BST into a static B-tree which is faster by a $\Theta(\log B)$ factor; the transformation is randomized and we show that randomization is necessary to obtain any significant speedup.

Includes members:
  Member "weighted dynamic finger in binary search trees":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "new paths from splay to dynamic optimality")
  Member "multi finger binary search trees":
    also connected through other hyperedges:
      (none)
  Member "the landscape of bounds for binary search trees":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "new paths from splay to dynamic optimality")
  Member "combining binary search trees":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "new paths from splay to dynamic optimality")
  Member "the power and limitations of static binary search trees with lazy finger":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "competitive online search trees on trees")
  Member "in pursuit of the dynamic optimality conjecture":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "new paths from splay to dynamic optimality")
  Member "the fresh finger property":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "new paths from splay to dynamic optimality")
  Member "worst case optimal tree layout in external memory":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the power and limitations of static binary search trees with lazy finger")

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)