Data Mining and Fusion Techniques for WSNs as a Source of the Big Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096547" target="_blank" >RIV/61989100:27240/15:86096547 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.procs.2015.09.023" target="_blank" >http://dx.doi.org/10.1016/j.procs.2015.09.023</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.procs.2015.09.023" target="_blank" >10.1016/j.procs.2015.09.023</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Data Mining and Fusion Techniques for WSNs as a Source of the Big Data

Popis výsledku v původním jazyce

The wide adoption of the Wireless Senor Networks (WSNs) applications around the world has increased the amount of the sensor data which contribute to the complexity of Big Data. This has emerged the need to the use of in-network data processing techniques which are very crucial for the success of the big data framework. This article gives overview and discussion about the state-of-the-art of the data mining and data fusion techniques designed for the WSNs. It discusses how these techniques can prepare the sensor data inside the network (in-network) before any further processing as big data. This is very important for both of the WSNs and the big data framework. For the WSNs, the in-network pre-processing techniques could lead to saving in their limitedresources. For the big data side, receiving a clean, non-redundant and relevant data would reduce the excessive data volume, thus an overload reduction will be obtained at the big data processing platforms and the discovery of values fro

Název v anglickém jazyce

Data Mining and Fusion Techniques for WSNs as a Source of the Big Data

Popis výsledku anglicky

The wide adoption of the Wireless Senor Networks (WSNs) applications around the world has increased the amount of the sensor data which contribute to the complexity of Big Data. This has emerged the need to the use of in-network data processing techniques which are very crucial for the success of the big data framework. This article gives overview and discussion about the state-of-the-art of the data mining and data fusion techniques designed for the WSNs. It discusses how these techniques can prepare the sensor data inside the network (in-network) before any further processing as big data. This is very important for both of the WSNs and the big data framework. For the WSNs, the in-network pre-processing techniques could lead to saving in their limitedresources. For the big data side, receiving a clean, non-redundant and relevant data would reduce the excessive data volume, thus an overload reduction will be obtained at the big data processing platforms and the discovery of values fro

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Procedia Computer Science. Volume 65

ISBN

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ISSN

1877-0509

e-ISSN

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Počet stran výsledku

9

Strana od-do

778-786

Název nakladatele

Elsevier

Místo vydání

Amsterdam

Místo konání akce

Praha

Datum konání akce

20. 4. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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