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Authors: Hind Bangui 1 ; Mouzhi Ge 2 and Barbora Buhnova 2

Affiliations: 1 Masaryk University and Cadi Ayyad University, Czech Republic ; 2 Masaryk University, Czech Republic

Keyword(s): Big Data, Internet of Things, Clustering Algorithm, Machine Learning, Mobile Networks.

Abstract: With the rapid development of the Big Data and Internet of Things (IoT), Big Data technologies have emerged as a key data analytics tool in IoT, in which, data clustering algorithms are considered as an essential component for data analysis. However, there has been limited research that addresses the challenges across Big Data and IoT and thus proposing a research agenda is important to clarify the research challenges for clustering Big Data in the context of IoT. By tackling this specific aspect - clustering algorithm in Big Data, this paper examines on Big Data technologies, related data clustering algorithms and possible usages in IoT. Based on our review, this paper identifies a set of research challenges that can be used as a research agenda for the Big Data clustering research. This research agenda aims at identifying and bridging the research gaps between Big Data clustering algorithms and IoT.

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Paper citation in several formats:
Bangui, H.; Ge, M. and Buhnova, B. (2018). Exploring Big Data Clustering Algorithms for Internet of Things Applications. In Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-296-7; ISSN 2184-4976, SciTePress, pages 269-276. DOI: 10.5220/0006773402690276

@conference{iotbds18,
author={Hind Bangui. and Mouzhi Ge. and Barbora Buhnova.},
title={Exploring Big Data Clustering Algorithms for Internet of Things Applications},
booktitle={Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2018},
pages={269-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006773402690276},
isbn={978-989-758-296-7},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Exploring Big Data Clustering Algorithms for Internet of Things Applications
SN - 978-989-758-296-7
IS - 2184-4976
AU - Bangui, H.
AU - Ge, M.
AU - Buhnova, B.
PY - 2018
SP - 269
EP - 276
DO - 10.5220/0006773402690276
PB - SciTePress

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