The Utilisation of Information Potential of Data by Using the Techniques KDD and Data Mining
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F01%3A00000439" target="_blank" >RIV/61989100:27350/01:00000439 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Utilisation of Information Potential of Data by Using the Techniques KDD and Data Mining
Original language description
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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
7
Pages from-to
301-307
Publisher name
Vysoká škola báňská - Technická univerzita Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Jan 30, 2001
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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