@InProceedings{vns-mlgd-2015,
  Title                    = {The Application of Machine Learning to Problems in Graph Drawing -- A Literature Review},
  Author                   = {Raissa dos Santos Vieira and Hugo Alexandre Dantas do Nascimento and Wanderson Barcelos da Silva},
  Booktitle                = {Proc. of The Seventh International Conference on Information, Process, and Knowledge Management (eKNOW 2015)},
  Year                     = {2015},
  Pages                    = {112--118},
  Publisher                = {IARIA},
  Series                   = {eKNOW 2015},

  Abstract                 = {Graph drawing, as a research field, is concerned with the visualization of information modeled in the form of graphs. The present paper is a literature review that identifies the state- of-the-art in applying machine learning techniques to problems in graph drawing. We focused on machine learning strategies that build up and represent knowledge about how to draw a graph. Surprisingly, only a few pieces of research can be found about this subject. We classified them in two main groups: the ones that extract knowledge from the user by human-computer interaction and those that are not based on data directly gathered from users. The study of these methods shows that there is still much to research and to develop regarding the application of machine learning to graph drawing. We suggest directions for future research on this area.},
  Keywords                 = {Graph Drawing, Human-Computer Interaction, Machine Learning},
  Owner                    = {hugo},
  Qualis                   = {B4},
  Timestamp                = {2015.11.15},
  Url                      = {http://www.thinkmind.org/index.php?view=instance&instance=eKNOW+2015
http://www.thinkmind.org/index.php?view=article&articleid=eknow_2015_5_30_60124}
}

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