Distributed data mining systems: techniques, approaches and algorithms

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63521244" target="_blank" >RIV/70883521:28140/18:63521244 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.matec-conferences.org/articles/matecconf/pdf/2018/69/matecconf_cscc2018_04038.pdf" target="_blank" >https://www.matec-conferences.org/articles/matecconf/pdf/2018/69/matecconf_cscc2018_04038.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1051/matecconf/201821004038" target="_blank" >10.1051/matecconf/201821004038</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Distributed data mining systems: techniques, approaches and algorithms

Popis výsledku v původním jazyce

Nowadays, we are living in the midst of a data explosion and seeing a massive growth in databases so with the wide availability of huge amounts of data; necessarily we are become in need for turning this data into useful information and knowledge, where Data mining uncovers interesting patterns and relationships hidden in a large volume of raw data and big data is a new term used to identify the datasets that are of large size and have grater complexity. The knowledge gained from data can be used for applications such as market analysis, customer retention and production control. Data mining is a massive computing task that deals with huge amount of stored data in a centralized or distributed system to extract useful information or knowledge. In this paper, we will discuss Distributed Data Mining systems, approaches, Techniques and algorithms to deal with distributed data to discover knowledge from distributed data in an effective and efficient way.

Název v anglickém jazyce

Distributed data mining systems: techniques, approaches and algorithms

Popis výsledku anglicky

Nowadays, we are living in the midst of a data explosion and seeing a massive growth in databases so with the wide availability of huge amounts of data; necessarily we are become in need for turning this data into useful information and knowledge, where Data mining uncovers interesting patterns and relationships hidden in a large volume of raw data and big data is a new term used to identify the datasets that are of large size and have grater complexity. The knowledge gained from data can be used for applications such as market analysis, customer retention and production control. Data mining is a massive computing task that deals with huge amount of stored data in a centralized or distributed system to extract useful information or knowledge. In this paper, we will discuss Distributed Data Mining systems, approaches, Techniques and algorithms to deal with distributed data to discover knowledge from distributed data in an effective and efficient way.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LO1303" target="_blank" >LO1303: Podpora udržitelnosti a rozvoje Centra bezpečnostních, informačních a pokročilých technologií (CEBIA-Tech)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

MATEC Web of Conferences

ISBN

—

ISSN

2261-236X

e-ISSN

neuvedeno

Počet stran výsledku

11

Strana od-do

—

Název nakladatele

EDP Sciences

Místo vydání

Les Ulis

Místo konání akce

Majorca

Datum konání akce

14. 7. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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