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2020 | OriginalPaper | Buchkapitel

Exploiting IoT Data Crossings for Gradual Pattern Mining Through Parallel Processing

verfasst von : Dickson Odhiambo Owuor, Anne Laurent, Joseph Onderi Orero

Erschienen in: ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium

Verlag: Springer International Publishing

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Abstract

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.

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Titel: Exploiting IoT Data Crossings for Gradual Pattern Mining Through Parallel Processing
verfasst von: Dickson Odhiambo Owuor
Anne Laurent
Joseph Onderi Orero
Verlag: Springer International Publishing
Buch: ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium
Print ISBN: 978-3-030-55813-0

Electronic ISBN: 978-3-030-55814-7

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-55814-7_9

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