A Research Roadmap of Big Data Clustering Algorithms for Future Internet of Things
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F19%3A00108886" target="_blank" >RIV/00216224:14610/19:00108886 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.4018/IJOCI.2019040102" target="_blank" >http://dx.doi.org/10.4018/IJOCI.2019040102</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4018/IJOCI.2019040102" target="_blank" >10.4018/IJOCI.2019040102</a>
Alternative languages
Result language
angličtina
Original language name
A Research Roadmap of Big Data Clustering Algorithms for Future Internet of Things
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_013%2F0001802" target="_blank" >EF16_013/0001802: CERIT Scientific Cloud</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Organizational and Collective Intelligence
ISSN
1947-9344
e-ISSN
1947-9352
Volume of the periodical
9
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
16-30
UT code for WoS article
—
EID of the result in the Scopus database
—