6 articles in this issue
Fionn Murtagh and Keith Devlin
In Data Science, we are concerned with the integration of relevant sciences in observed and empirical contexts. This results in the unification of analytical methodologies, and of observed and empirical data contexts. Given the dynamic nature of convergen... see more
Takaaki Namba and Yoji Yamada
Our previous study proposed an automatic fall risk assessment and related risk reduction measures. A nursing system to reduce patient accidents was also developed, therefore reducing the caregiving load of the medical staff in hospitals. However, there ar... see more
Kaho Takahashi, Takumi Kato and Tetsuo Kinoshita
With the widespread use of wearable sensors, cloud services, social networking services (SNS), etc., there are various applications and systems that record information on users’ daily activities and support recalling these activities. In various situation... see more
Andreas Kanavos, Stavros Anastasios Iakovou, Spyros Sioutas and Vassilis Tampakas
In this manuscript, we present a prediction model based on the behaviour of each customer using data mining techniques. The proposed model utilizes a supermarket database and an additional database from Amazon, both containing information about customers’... see more
Hany F. Atlam, Robert J. Walters and Gary B. Wills
With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud computing paradigm faces several challenges such as high latency, low capacity and network failure. To address these challenges, fog computing brings the cloud c... see more
Mihal Miu, Xiaokun Zhang, M. Ali Akber Dewan and Junye Wang
Geospatial information plays an important role in environmental modelling, resource management, business operations, and government policy. However, very little or no commonality between formats of various geospatial data has led to difficulties in utiliz... see more