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@InProceedings{LorenaQuilLore:2019:ImPeIn,
               author = "Lorena, Luiz Henrique Nogueira and Quiles, Marcos Gon{\c{c}}alves 
                         and Lorena, Luiz Antonio Nogueira",
          affiliation = "{Universidade Federal de S{\~a}o Paulo (UNIFESP)} and 
                         {Universidade Federal de S{\~a}o Paulo (UNIFESP)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Improving the performance of an integer linear programming 
                         community detection algorithm through clique filtering",
            booktitle = "Proceedings...",
                 year = "2019",
               editor = "Misra, S. and Stankova, E. and Korkhov, V. and Torre, C. and 
                         Tarantino, E. and Rocha, A. M. A. C. and Taniar, D. and Gervasi, 
                         O. and Apduhan, B. O. and Murgante, B.",
                pages = "757--769",
         organization = "International Conference on Computational Science and Its 
                         Applications, 19. (ICCSA)",
            publisher = "Springer Verlag",
             keywords = "Community detection, Integer linear programming, Preprocessing 
                         technique.",
             abstract = "Different fields of science use network representation as a 
                         framework to model their systems. The analysis of network 
                         structure can give us essential information about the system. 
                         However, the size of such a network can limit the applicability of 
                         some fundamental techniques like mathematical programming. Thus, 
                         here we propose a novel network size reduction technique based on 
                         a clique filtering approach. Our goal is twofold: (1) reduce the 
                         network size and speed up the community detection process, and (2) 
                         preserve the modularity of the original partition in the context 
                         of the exact model. Conducted experiments show the feasibility and 
                         correctness of the proposed technique.",
  conference-location = "Saint Petersburg, Russia",
      conference-year = "01-04 July",
                  doi = "10.1007/978-3-030-24289-3_5",
                  url = "http://dx.doi.org/10.1007/978-3-030-24289-3_5",
                 isbn = "978-303024288-6",
                 issn = "03029743",
             language = "en",
           targetfile = "lorena_improving.pdf",
        urlaccessdate = "12 abr. 2021"
}


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