Artificial Intelligence Elements in Data Mining from Remote Experiments

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86093206" target="_blank" >RIV/61989100:27240/14:86093206 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Artificial Intelligence Elements in Data Mining from Remote Experiments
Original language description
In spite of the fact that remote laboratories have been existing for at least three decades, virtually no attention has been devoted to the accumulated data analysis of this new means of education. The paper deals with the data analysis, gathered in theDatacentre (DTC) implemented with the Laboratory Management System (RLMS), connected in turn to remote laboratories and re- mote experiments. In particular, we concentrate and describe a new model of experiment data analysis, based on the principles of artificial intelligence, based on the criterion function in need. The leading idea of the model functioning is during the procedure of rig(s) recognition i.e Data weighting: Data recognition: Data preparation: Phenomenon modelling: Model and measurement data com- parison: Result deployment, where the artificial intellingence is integrated with steps of Data weighting by association and regression using neuron network. Benefit of the suggested method is its speed and efficiency and thus us
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Nostradamus 2014: prediction, modeling and analysis of complex systems
ISBN
978-3-319-07400-9
ISSN
2194-5357
e-ISSN
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Number of pages
9
Pages from-to
421-429
Publisher name
Springer
Place of publication
London
Event location
Ostrava
Event date
Jun 23, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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