High utility pattern mining has been actively researched as one of the significant topics in the
data mining field since this approach can solve the limitation of traditional pattern mining that …

In recent years, many investigations have appeared that combine the Internet of Things and
Social Networks. Some of them addressed the interconnection of objects as Social Networks …

This paper investigates the optimization on the energy efficiency of dynamically clustering
for naturally scattering deployed cluster-based wireless sensor networks (WSNs). The nodes …

This study also proposes a solar power-based adaptive node-selection protocol mechanism
for a wireless sensor network to increase the monitor performance of wireless sensors …

Aiming at the long band-type topology of Wireless Sensor Network in coalmine and the
uneven energy consumption between the nodes, this paper proposes an uneven clustering …

Social networks are an inexhaustible source of knowledge. One of its main uses is to
express opinions about a particular product or service. Thus, users usually write opinions …

To solve the degeneracy phenomenon and the sample impoverishment problem of basic
particle filter (PF) algorithm, and to improve the target tracking accuracy of the wireless …

On 16th of February 2016, Cristian González García defended his PhD thesis on the Internet
of Things (IoT) at the University of Oviedo [1]. He presented his dissertation in a publicly …

Limited bandwidth and lacked compatibility information of the sensor nodes in Wireless
Sensor Network (WSN) are critical issues in implementing WSN applications. This paper …

High utility pattern mining has been effectively researched within the data mining field. The
traditional pattern mining cannot absolutely think about attributes of databases used in real …