Exploring Big Data Clustering Algorithms for Internet of Things
Applications

D 2018

Exploring Big Data Clustering Algorithms for Internet of Things Applications

BANGUI, Hind, Mouzhi GE a Barbora BÜHNOVÁ

Základní údaje

Originální název

Exploring Big Data Clustering Algorithms for Internet of Things Applications

Autoři

BANGUI, Hind (504 Maroko, domácí), Mouzhi GE (156 Čína, garant, domácí) a Barbora BÜHNOVÁ (203 Česká republika, domácí)

Vydání

Madeira, Portugal, Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security, od s. 269-276, 8 s. 2018

Nakladatel

SCITEPRESS

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10200 1.2 Computer and information sciences

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Kód RIV

RIV/00216224:14610/18:00102285

Organizační jednotka

Ústav výpočetní techniky

ISBN

978-989-758-296-7

DOI

http://dx.doi.org/10.5220/0006773402690276

Klíčová slova anglicky

Big Data; Internet of Things; Clustering Algorithm; Machine Learning; Mobile Networks

Štítky

firank_B, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 20. 3. 2019 15:03, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Návaznosti

EF16_013/0001802, projekt VaV

Název: CERIT Scientific Cloud

Citovat

BANGUI, Hind, Mouzhi GE a 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, s. 269-276. ISBN 978-989-758-296-7. Dostupné z: https://dx.doi.org/10.5220/0006773402690276.

@inproceedings{1407165,
   author = {Bangui, Hind and Ge, Mouzhi and Bühnová, Barbora},
   address = {Madeira, Portugal},
   booktitle = {Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security},
   doi = {http://dx.doi.org/10.5220/0006773402690276},
   keywords = {Big Data; Internet of Things; Clustering Algorithm; Machine Learning; Mobile Networks},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Madeira, Portugal},
   isbn = {978-989-758-296-7},
   pages = {269-276},
   publisher = {SCITEPRESS},
   title = {Exploring Big Data Clustering Algorithms for Internet of Things Applications},
   url = {http://www.scitepress.org/PublicationsDetail.aspx?ID=Frf7G1jpPY4=&t=1},
   year = {2018}
}

TY  - JOUR
ID  - 1407165
AU  - Bangui, Hind - Ge, Mouzhi - Bühnová, Barbora
PY  - 2018
TI  - Exploring Big Data Clustering Algorithms for Internet of Things Applications
PB  - SCITEPRESS
CY  - Madeira, Portugal
SN  - 9789897582967
KW  - Big Data
KW  - Internet of Things
KW  - Clustering Algorithm
KW  - Machine Learning
KW  - Mobile Networks
UR  - http://www.scitepress.org/PublicationsDetail.aspx?ID=Frf7G1jpPY4=&t=1
N2  - 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.
ER  -

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

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