Methodologies and Standards for Data Mining

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26138077%3A_____%2F11%3A%230000320" target="_blank" >RIV/26138077:_____/11:#0000320 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Methodologies and Standards for Data Mining

Popis výsledku v původním jazyce

Methodologies and standards are defined in various domains to improve efficiency, assure correctness and reliability, or to facilitate communication. In the field of data mining, methodologies and standards of several types are used. Firstly, methodologies and standards are used on conceptual level to guide the analysts and data miners during the data mining process, assuring standardization between different applications and teams. Secondly, methodologies and standards are used on data and model levelas data and model interchange formats, assuring interoperability and sharing between different data mining tools. Third type of standards are programming tools and interfaces that allow to easy connect data mining tools with other systems, usually databases. The paper reviews the mostly used methodologies and standards for data mining of all three types.

Název v anglickém jazyce

Methodologies and Standards for Data Mining

Popis výsledku anglicky

Methodologies and standards are defined in various domains to improve efficiency, assure correctness and reliability, or to facilitate communication. In the field of data mining, methodologies and standards of several types are used. Firstly, methodologies and standards are used on conceptual level to guide the analysts and data miners during the data mining process, assuring standardization between different applications and teams. Secondly, methodologies and standards are used on data and model levelas data and model interchange formats, assuring interoperability and sharing between different data mining tools. Third type of standards are programming tools and interfaces that allow to easy connect data mining tools with other systems, usually databases. The paper reviews the mostly used methodologies and standards for data mining of all three types.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceeding of 6th International Workshop on Knowledge Management WKM 2011

ISBN

978-80-89306-12-1

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

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Název nakladatele

VŠM

Místo vydání

Bratislava

Místo konání akce

Bratislava

Datum konání akce

1. 1. 2011

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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