Extraction of Interesting Adaptation Rules

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  author =       "Rim Nasfi and Makram Soui",
  title =        "Extraction of Interesting Adaptation Rules",
  journal =      "Procedia Computer Science",
  volume =       "34",
  pages =        "607--612",
  year =         "2014",
  note =         "The 9th International Conference on Future Networks
                 and Communications (FNC'14)/The 11th International
                 Conference on Mobile Systems and Pervasive Computing
                 (MobiSPC'14)/Affiliated Workshops",
  keywords =     "genetic algorithms, genetic programming, Adapative
                 Systems, Adaptation Rules, Context of Use",
  ISSN =         "1877-0509",
  DOI =          "doi:10.1016/j.procs.2014.07.081",
  URL =          "http://www.sciencedirect.com/science/article/pii/S1877050914009363",
  abstract =     "Adaptive System (AS) aims to provide tailored services
                 to users in various contexts. To achieve such
                 behaviour, the system needs a user model providing
                 information about users, e.g., about their preferences
                 and custom information while ensuring their adaptation
                 to the needs of each user. In fact, the diversity of
                 contexts and the proliferation of profiles make
                 adaptation a very sophisticated process. Adaptation is
                 a major challenge for the information system. In this
                 context, this paper presents an adaptive method based
                 on the principle of genetic programming (GP) by
                 extracting the best adaptation rules. The idea is to
                 extract interesting adaptation rules and apply them to
                 adapt interface to each user. To this end, we use the
                 GP which is an evolutionary method that can be used to
                 control a system evolution and ensuring the adaptation
                 of population toward changing conditions (adaptation,
                 reactivity and taking account of the environment).",

Genetic Programming entries for Rim Nasfi Makram Soui