Exploring Big Data Clustering Algorithms for Internet of Things Applications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F18%3A00102285" target="_blank" >RIV/00216224:14610/18:00102285 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5220/0006773402690276" target="_blank" >http://dx.doi.org/10.5220/0006773402690276</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0006773402690276" target="_blank" >10.5220/0006773402690276</a>
Alternative languages
Result language
angličtina
Original language name
Exploring Big Data Clustering Algorithms for Internet of Things Applications
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
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)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security
ISBN
9789897582967
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
269-276
Publisher name
SCITEPRESS
Place of publication
Madeira, Portugal
Event location
Madeira, Portugal
Event date
Jan 1, 2018
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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