Exploring Big Data Clustering Algorithms for Internet of Things Applications

BANGUI, Hind, Mouzhi GE and Barbora BÜHNOVÁ. Exploring Big Data Clustering Algorithms for Internet of Things Applications. Online. In Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security. Madeira, Portugal: SCITEPRESS, 2018, p. 269-276. ISBN 978-989-758-296-7. Available from: https://dx.doi.org/10.5220/0006773402690276.

Basic information

• Original name: Exploring Big Data Clustering Algorithms for Internet of Things Applications
• Authors: BANGUI, Hind (504 Morocco, belonging to the institution), Mouzhi GE (156 China, guarantor, belonging to the institution) and Barbora BÜHNOVÁ (203 Czech Republic, belonging to the institution).
• Edition: Madeira, Portugal, Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security, p. 269-276, 8 pp. 2018.
• Publisher: SCITEPRESS

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10200 1.2 Computer and information sciences
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: electronic version available online
• WWW: URL
• RIV identification code: RIV/00216224:14610/18:00102285
• Organization unit: Institute of Computer Science
• ISBN: 978-989-758-296-7
• Doi: http://dx.doi.org/10.5220/0006773402690276
• Keywords in English: Big Data; Internet of Things; Clustering Algorithm; Machine Learning; Mobile Networks
• Tags: firank_B, rivok
• Tags: International impact, Reviewed

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.

Links

• EF16_013/0001802, research and development project: Name: CERIT Scientific Cloud