Over the years, the study on logic mining approach has increased exponentially. However,
most logic mining models disregarded any efforts in expanding the search space which led …

The density-based spatial clustering of applications with noise (DBSCAN) is regarded as a
pioneering algorithm of the density-based clustering technique. It provides the ability to …

Purpose The study aims to cluster the travellers based on their social media interactions as
well as to find the different segments with similar and dissimilar categories according to …

Nowadays, review systems have been developed with social media Recommendation
systems (RS). Although research on RS social media is increasing year by year, the …

Clustering is the most widely used unsupervised machine learning technique, having
extensive applications in statistical analysis. We have multiple clustering algorithms …

Nowadays, computing on encrypted data seems to be more practical than a few years ago,
thanks to the emergence of new Homomorphic Encryption schemes. In this paper, an …

RadViz contributes to multidimensional analysis by using 2D points for encoding data
elements and interpreting them along the original data dimensions. For these characteristics …

In this study, we propose an automated system to classify traveller ratings on travel
destinations in ten categories across East Asia using the UCI travel reviews dataset. The …

We investigate the practical aspects of computing the necessary and possible winners in
elections over incomplete voter preferences. In the case of the necessary winners, we show …

In some practical situations, new computational methods are required for appropriately
representing systems and their variables with inaccuracies, uncertainties, or variability. The …