publications([{
   "lang": "en",
   "bibtype": "inproceedings",
   "doi": "https://doi.org/10.1109/ICDMW.2016.0171",
   "title": "Towards Visualizing Hidden Structures",
   "abstract": "There is an increasing need to quickly understand the contents log data.\r\nA wide range of patterns can be computed and provide valuable information: for example existence of repeated sequences of events or periodic behaviors.\r\nHowever pattern mining techniques often produce many patterns that have to be examined one by one, which is time consuming for experts.\r\nOn the other hand, visualization techniques are easier to understand , but cannot provide the in-depth understanding provided by pattern mining approaches.\r\nOur contribution is to propose a novel visual analytics method that allows to immediately visualize hidden structures such as repeated sets/sequences and periodicity, allowing to quickly gain a deep understanding of the log.",
   "authors": {
      "1": {
         "first_name": "Rémy",
         "last_name": "Dautriche"
      },
      "2": {
         "first_name": "Alexandre",
         "last_name": "Termier"
      },
      "3": {
         "first_name": "Renaud",
         "last_name": "Blanch"
      },
      "4": {
         "first_name": "Miguel",
         "last_name": "Santana"
      }
   },
   "year": 2016,
   "uri": "http://iihm.imag.fr/publication/DTB+16a/",
   "pages": "1183-1190",
   "note": "appeared in the PhD Forum.",
   "id": 774,
   "abbr": "DTB+16a",
   "address": "Barcelone, Espagne",
   "date": "2016-12-12",
   "document": "http://iihm.imag.fr/publs/2016/ICDM16-hidden-dautriche.pdf",
   "type": "Autres conférences et colloques avec actes",
   "booktitle": "Proceedings of the International Conference on Data Mining, PhD Forum (ICDM 2016)",
   "type_publi": "colloque"
}]);