The Utilization Statistical and Data Mining Techniques for Data-analysis Automatically Measured from Technological Process
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F02%3A00007067" target="_blank" >RIV/61989100:27350/02:00007067 - 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 Utilization Statistical and Data Mining Techniques for Data-analysis Automatically Measured from Technological Process
Original language description
Data Mining methods are based on concepts of machine learning, pattern recognotition, data visualization, statistic, artificial intelligence and so on. The two primary goal of Data Mining in practice tend to be prediction and description. Prediction involves using some variables or fields in the database to predict unknown or future variables of other variables of interest. Description focuses on finding human-interpretable patterns describing the data. The core of data mining are neural networks and well-known statistical analysis prepared for ability to process an unknown and complicated data structure and find hidden connections. In the case the structure of data is relatively simply and known in advance, it is suitable use statistical tools for instance regression analysis, analysis of variance, factor analysis, time series forecasting, tree decision Very interesting results could be obtained by using wavelets.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
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
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Eleventh International Symposium on Mine Planning and Equipment Selection 2002
ISBN
80-248-0127-2
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
475-480
Publisher name
Vysoká škola báňská - Technická univerzita Ostrava
Place of publication
Ostrava
Event location
Bouzov, Czech Republics
Event date
Sep 9, 2002
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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