In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …

Knowledge Discovery and Data Mining (KDD) is a multidisciplinary area focusing upon
methodologies for extracting useful knowledge from data and there are several useful KDD …

This paper formulates the problem of a rule-based machine learning method to discover the
behavioral rules of individual smartphone users to provide context-aware intelligent …

Pattern discovery techniques, such as association rule discovery, explore large search
spaces of potential patterns to find those that satisfy some user-specified constraints. Due to …

This paper describes a collaborative educational data mining tool based on association rule
mining for the ongoing improvement of e-learning courses and allowing teachers with …

Nowadays we find more and more applications for data mining techniques in e-learning and
web-based adaptive educational systems. The useful information discovered can be used …

Identification, interpretation and response to customer requirements are the key success
factors for companies, regardless of their industry. Failing to satisfy customer requirements …

In this paper we present LeGo, a generic framework that utilizes existing local pattern mining
techniques for global modeling in a variety of diverse data mining tasks. In the spirit of well …

In many applications, association rules will only be interesting if they represent non-trivial
correlations between all constituent items. Numerous techniques have been developed that …

We propose OntoGain, a system for unsupervised ontology acquisition from unstructured
text which relies on multi-word term extraction. For the acquisition of taxonomic relations, we …