Exploiting IoT Data Crossings for Gradual Pattern Mining Through Parallel Processing
Dickson Odhiambo Owuor, Anne Laurent, Joseph Onderi Orero · Communications in computer and information science · 2020
Today, with the proliferation of Internet of Things (IoT) applications in almost every area of our society comes the trouble of deducing relevant information from real-time time-series data (from different sources) for decision making. In this paper, we propose a fuzzy temporal approach for crossing such data sets with the ultimate goal of exploiting them for temporal gradual pattern mining. A temporal gradual pattern may take the form: “the higher the humidity, the lower the temperature, almost 15 min later” . In addition, we apply parallel processing on our implementation and measure its computational performance.