The Utilisation of Information Potential of Data by Using the Techniques KDD and Data Mining

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The Utilisation of Information Potential of Data by Using the Techniques KDD and Data Mining

Popis výsledku v původním jazyce

Present-day informative society produces in every moment a huge quantity of the heterogeneous information. Now a days we are capable to catch only a fragment of the datas which are bindding with us. Our possibility of a collecting, stocking and an effective exploitating them are except other limited by conventional procedures of the data-analysis. The new generation of the intelligent implements based on an artificial intelligence, statistical implements, data warehousing technology, on-line analyticalprocessing and next ones could be the solution. Into the foreground is coming the new discipline - knowledge discovery in databases (KDD) which is specialized ín data analysis in point of view their mutual connection, hidden connection and the future trend of the development. Mechanism of the KDD includes the steps for the selection, data cleaning and preprocessing, data reduction and projection, choosing the data mining task, choosing the data mining algorithms, data mining, interpretin

Název v anglickém jazyce

The Utilisation of Information Potential of Data by Using the Techniques KDD and Data Mining

Popis výsledku anglicky

Present-day informative society produces in every moment a huge quantity of the heterogeneous information. Now a days we are capable to catch only a fragment of the datas which are bindding with us. Our possibility of a collecting, stocking and an effective exploitating them are except other limited by conventional procedures of the data-analysis. The new generation of the intelligent implements based on an artificial intelligence, statistical implements, data warehousing technology, on-line analyticalprocessing and next ones could be the solution. Into the foreground is coming the new discipline - knowledge discovery in databases (KDD) which is specialized ín data analysis in point of view their mutual connection, hidden connection and the future trend of the development. Mechanism of the KDD includes the steps for the selection, data cleaning and preprocessing, data reduction and projection, choosing the data mining task, choosing the data mining algorithms, data mining, interpretin

Druh

D - Stať ve sborníku

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2001

Kód důvěrnosti údajů

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

Název statě ve sborníku

Mineral Raw Materials and Mining Activity of the 21 st Century

ISBN

80-7078-854-2

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

301-307

Název nakladatele

Vysoká škola báňská - Technická univerzita Ostrava

Místo vydání

Ostrava

Místo konání akce

Ostrava

Datum konání akce

30. 1. 2001

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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