Extraction of association rules used for assessing web sites' quality from a set of criteria

The amount of circulating data on the internet has witnessed a considerable increase during the last decades. A web site is the main source that provides users' needs. However, some of the existing web sites are not well intentioned by users. Many studies have treated the problem of assessing the web sites' quality of different categories such as ecommerce, education, entertainment, health, etc. The problematic implies a multiple criteria decision making (MCDM) due to the multiple conflicting criteria for assessment. Existing methods are mainly based on making a hierarchy to divide high level criteria, sub-level criteria and alternatives. There is no standard until now that defines important criteria for evaluation. Indeed, this paper presents a process of collecting and extracting data from a list of studies according to a Systematic Literature Review (SLR) method. In fact, it is necessary to know frequent criteria used in the literature for establishing the task of assessment. This paper proposes also a determination of an association rules' set extracted from a set of criteria by applying an Apriori method.