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 "an new attractive mage technique using l diversity"):
  Abstract: Data that is published or shared between organizations contain private information about an individual. The concept of Privacy Preservation aims to preserve this sensitive information from various privacy threats that violate the privacy of an individual. Analysis of this private information could reveal information that can be used for malicious purposes by the attackers. Anonymization is a privacy preservation approach suitable for mixed data that contains both numerical and categorical attributes. In this paper a novel method called Micro-aggregation Generalization (MAGE) is used for anonymization of microdata that can retain more semantics of the original data. Here the Micro-aggregation is applied over the numerical data and Generalization is applied over the categorical data. Even though the MAGE approach preserves privacy it fails to address the homogeneity and background knowledge attacks. Later the l-diversity approach is applied to deal with homogeneity attack. In l-diversity, the anonymized records are reordered to satisfy a new privacy principle that removes homogeneity of sensitive information. The result shows that the MAGE approach suffers from homogeneity attack and applying l-diversity over MAGE prevents homogeneity attack and also provides better privacy and data utility .

Includes members:
  Member "a perspective on sentiment analysis":
    also connected through other hyperedges:
      (none)
  Member "publishing microdata with a robust privacy guarantee":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "techniques d anonymisation tabulaire concepts et mise en oeuvre")

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.CL(Computation and Language)