Nothing Special   »   [go: up one dir, main page]
loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 65.254.225.175

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic

<style> #socialicons>a span { top: 0px; left: -100%; -webkit-transition: all 0.3s ease; -moz-transition: all 0.3s ease-in-out; -o-transition: all 0.3s ease-in-out; -ms-transition: all 0.3s ease-in-out; transition: all 0.3s ease-in-out;} #socialicons>ahover div{left: 0px;} </style>