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.