Data over the internet has been increasing everyday, and automatic mining of essential
information from an enormous amount of data has become a challenging task today for an …

Formal concept analysis (FCA) visualizes formal concepts in terms of a concept lattice.
Usually, it is an NP‐problem and consumes plenty of time and storage space to update the …

It is beneficial to automate the process of deriving concept hierarchies from corpora since a
manual construction of concept hierarchies is typically a time-consuming and resource …

Recently, three-way concept lattice is studied to handle the uncertainty and incompleteness
in the given attribute set based on acceptation, rejection, and uncertain regions. This paper …

Concept-cognitive learning (CCL) is an emerging field of concerning incremental concept
learning and dynamic knowledge processing in the context of dynamic environments …

The aim of this research was to develop a learning recommendation component in an
intelligent tutoring system (ITS) that dynamically predicts and adapts to a learner's style. In …

Recently, three-way representation of fuzzy concept lattice is introduced to characterize the
uncertainty and vagueness in the given data set based on its acceptation, rejection and …

Abstract Concept-cognitive learning, as an interdisciplinary study of concept lattice and
cognitive learning, has become a hot research direction among the communities of rough …

Abstract Virtual Network Function (VNF) is one of the pillars of a Cloud network that
separates network functions and their dedicated hardware devices, such as routers …

In recent year, the mathematics of three-way fuzzy concept lattice is introduced to
characterize the attributes based on its acceptation, rejection and uncertain part. One of the …