  Site selection is one of the most important decisions to be made by
companies. Such a decision depends on various factors of sites, including
socio-economic, geographical, ecological, as well as specific requirements of
companies. The existing approaches for site selection are manual, subjective,
and not scalable. The paper presents the new approach QuIS for site selection,
which is automatic, scalable, and more effective than existing state-of-the-art
methods. It impartially finds suitables site based on analyzing decisive data
of all location factors in both time and space. Another highlight of the
proposed method is that the recommendations are supported by explanations,
i.e., why something was suggested. To assess the effectiveness of the presented
method, a case study on site selection of supermarkets in Germany is performed
using real data of more than 200 location factors for 11.162 sites. Evaluation
results show that there is a big coverage (86.4 %) between the sites of
existing supermarkets selected by economists and the sites recommended by the
presented method. In addition, the method also recommends many sites (328)
where it is benefial to open a new supermarket. Furthermore, new decisive
location factors are revealed, which have an impact on the existence of
supermarkets.
