A Research Roadmap of Big Data Clustering Algorithms for Future
Internet of Things

J 2019

A Research Roadmap of Big Data Clustering Algorithms for Future Internet of Things

BANGUI, Hind; Mouzhi GE and Barbora BÜHNOVÁ

Basic information

Original name

A Research Roadmap of Big Data Clustering Algorithms for Future Internet of Things

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

International Journal of Organizational and Collective Intelligence, IGI, 2019, 1947-9344

Other information

Language

English

Type of outcome

Article in a journal

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

is not subject to a state or trade secret

References:

URL

RIV identification code

RIV/00216224:14610/19:00108886

Organization unit

Institute of Computer Science

DOI

http://dx.doi.org/10.4018/IJOCI.2019040102

Keywords in English

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

Abstract

In the original language

Due to the massive data increase in different Internet of Things (IoT) domains such as healthcare IoT and Smart City IoT, Big Data technologies have been emerged as critical analytics tools for analyzing the IoT data. Among the Big Data technologies, data clustering is one of the essential approaches to process the IoT data. However, how to select a suitable clustering algorithm for IoT data is still unclear. Furthermore, since Big Data technology are still in its initial stage for different IoT domains, it is thus valuable to propose and structure the research challenges between Big Data and IoT. Therefore, this paper starts from reviewing and comparing the data clustering algorithms that can be applied in IoT datasets, and then extends the discussions to a broader IoT context such as IoT dynamics and IoT mobile networks. Finally, this paper identifies a set of research challenges that harvest a research roadmap for the Big Data research in IoT domains. The proposed research roadmap aims at bridging the research gaps between Big Data and various IoT contexts.

Links

EF16_013/0001802, research and development project

Name: CERIT Scientific Cloud

Cite

BANGUI, Hind; Mouzhi GE and Barbora BÜHNOVÁ. A Research Roadmap of Big Data Clustering Algorithms for Future Internet of Things. International Journal of Organizational and Collective Intelligence. IGI, 2019, vol. 9, No 2, p. 16-30. ISSN 1947-9344. Available from: https://dx.doi.org/10.4018/IJOCI.2019040102.

@article{1443356,
   author = {Bangui, Hind and Ge, Mouzhi and Bühnová, Barbora},
   article_number = {2},
   doi = {http://dx.doi.org/10.4018/IJOCI.2019040102},
   keywords = {Big Data; Internet of Things; Clustering Algorithm; Machine Learning; Mobile Networks},
   language = {eng},
   issn = {1947-9344},
   journal = {International Journal of Organizational and Collective Intelligence},
   title = {A Research Roadmap of Big Data Clustering Algorithms for Future Internet of Things},
   url = {http://dx.doi.org/10.4018/IJOCI.2019040102},
   volume = {9},
   year = {2019}
}

TY  - JOUR
ID  - 1443356
AU  - Bangui, Hind - Ge, Mouzhi - Bühnová, Barbora
PY  - 2019
TI  - A Research Roadmap of Big Data Clustering Algorithms for Future Internet of Things
JF  - International Journal of Organizational and Collective Intelligence
VL  - 9
IS  - 2
SP  - 16-30
EP  - 16-30
PB  - IGI
SN  - 19479344
KW  - Big Data
KW  - Internet of Things
KW  - Clustering Algorithm
KW  - Machine Learning
KW  - Mobile Networks
UR  - http://dx.doi.org/10.4018/IJOCI.2019040102
L2  - http://dx.doi.org/10.4018/IJOCI.2019040102
N2  - Due to the massive data increase in different Internet of Things (IoT) domains such as healthcare IoT and Smart City IoT, Big Data technologies have been emerged as critical analytics tools for analyzing the IoT data. Among the Big Data technologies, data clustering is one of the essential approaches to process the IoT data. However, how to select a suitable clustering algorithm for IoT data is still unclear. Furthermore, since Big Data technology are still in its initial stage for different IoT domains, it is thus valuable to propose and structure the research challenges between Big Data and IoT. Therefore, this paper starts from reviewing and comparing the data clustering algorithms that can be applied in IoT datasets, and then extends the discussions to a broader IoT context such as IoT dynamics and IoT mobile networks. Finally, this paper identifies a set of research challenges that harvest a research roadmap for the Big Data research in IoT domains. The proposed research roadmap aims at bridging the research gaps between Big Data and various IoT contexts.
ER  -

BANGUI, Hind; Mouzhi GE and Barbora BÜHNOVÁ. A Research Roadmap of Big Data Clustering Algorithms for Future Internet of Things. \textit{International Journal of Organizational and Collective Intelligence}. IGI, 2019, vol.~9, No~2, p.~16-30. ISSN~1947-9344. Available from: https://dx.doi.org/10.4018/IJOCI.2019040102.

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