As computer science and information technology are making broad and deep impacts on
our daily lives, more and more papers are being submitted to computer science journals and …

The smart electrical grid (SEG), that utilizes information for creating a widely distributed
automated energy delivery network, is considered as an advanced digital 2-way power flow …

In this era, feature clustering is a prominent technique in data mining. Feature clustering has
also huge applications in biomedical research for multiple purposes including grouping …

Internet of things (IoT) enables the smart electrical grids (SEGs) to support a lot of tasks
throughout the generation, transmission, distribution and consumption of energy. Large …

Purpose The purpose of this paper is to develop a systematic approach to extract users'
feelings and emotions about their experiences in hospitals from online reviews and rank the …

This paper aims to create a new hybrid ensemble data mining model to predict the
Salmonella presence in agricultural surface waters based on the combination of …

With rapid growth of social networking service on Internet, huge amount of information are
continuously generated in real time. As a result, sentiment analysis of online reviews and …

Academic performance, a globally understood metric, is utilized worldwide across disparate
teaching and learning environments and is regarded as a quantifiable indicator of learning …

Feature reduction refers to the problem of deleting those input features that are less
predictive of a given outcome; a problem encountered in many areas such as pattern …

Abstract Context Systematic Literature Reviews (SLRs) are frequently used to synthesize
evidence in Software Engineering (SE), however replicating and keeping SLRs up-to-date is …