@article{MAKHILLAJIT20141385849,
    title = {Graphical Data Mining using Hybrid Role Engineering Approach},
    journal = {Asian Journal of Information Technology},
    volume = {13},
    number = {8},
    pages = {416-421},
    year = {2014},
    issn = {1682-3915},
    doi = {ajit.2014.416.421},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2014.416.421},
    author = {R.,Divya and},
    keywords = {Access controls,data and knowledge visualization,mining methods and algorithms,viability,assignments},
    abstract = {Role-Based Access Control (RBAC) is an effective mechanism 
  that provides resources by reducing the risk of resource allocation when the 
  designed roles are business-driven. Data mining represents an essential tool 
  for role engineers. Graphical data mining, formally defines the problem by introducing 
  a metric for the quality of the visualization. Using the RBAC approach, the 
  user-permission assignments of a given set of roles are defined which provides 
  an interface and allows visual elicitation of roles even in the absence of predefined 
  roles. Besides being rooted in sound theory, this is supported by extensive 
  simulations run over real data. Result of the visualization confirm the quality 
  of the proposal and demonstrate its viability in supporting role engineering 
  decisions.}
    }