We present a machine learning algorithm for building classifiers that are comprised of a
small number of short rules. These are restricted disjunctive normal form models. An …

Context-aware monitoring is an emerging technology that provides real-time personalised
health-care services and a rich area of big data application. In this paper, we propose a …

Market basket analysis (MBA), also known as association rule mining or affinity analysis, is a
data-mining technique that originated in the field of marketing and more recently has been …

Defects pose considerable risks to construction projects in terms of both cost and quality,
and identifying defects thus is crucial to effective construction quality management. In this …

The embracing of the Internet of Things (IoT) and Cloud Computing technologies gives
excellent opportunities to develop smart healthcare services that have great prediction …

Mobile recommender systems target on recommending the right product or information to
the right mobile users at anytime and anywhere. It is well known that the contextual …

Currently, context awareness has become essential in software applications and services
owing to the high demand by users, especially for mobile computing applications. This need …

Context-aware platforms consist of dynamic algorithms that take the context information into
account to adapt the behavior of the applications. The relevant context information is …

Abstract In the Internet of Things (IoT), data-producing entities sense their environment and
transmit these observations to a data processing platform for further analysis. Applications …

Aims: The purpose of this study is to investigate the pattern of consumer relationships
between popular esports titles to understand how the esports market is partitioned in terms …