Original title: Advanced Data Analysis for Industrial Applications
Authors: Wagner, Zdeněk ; Kovanic, Pavel
Document type: Papers
Conference/Event: Modelling Smard Grids 2015, Prague (CZ), 2015-09-10 / 2015-09-11
Year: 2015
Language: eng
Abstract: One of the principal tasks of nowaday's industry is process intensification. The methodology for finding reliable results is highly demanded. While marketing is concentrated on analysis big data that are available in eShops as well as other internet media, the situation in the industry is different because solution must be found in real time based on limited amount of data. The algorithms of data analysis must therefore be fast and robust. In the last few decades statistical methods have advanced considerably but a new, nonstatistical approach to uncertainty, called mathematical gnostics, have also be developed. This new approach is based upon the fundamental laws of nature and robustness is its inherent property. The contribution will present several applications with the emphasis laid upon description of the main features of mathematical gnostics. Previous applications in energetics that can be enhanced by use of the modern algorithms of data analysis will also be mentioned.
Keywords: data analysis; mathematical gnostics; robust methods
Host item entry: Abstracts Book, ISBN 978-2-910239-82-4
Rights: This work is protected under the Copyright Act No. 121/2000 Coll.

Institution: Institute of Chemical Process Fundamentals AS ČR (web)
Original record: http://hdl.handle.net/11104/0250606

Permalink: http://www.nusl.cz/ntk/nusl-200862


The record appears in these collections:
Research > Institutes ASCR > Institute of Chemical Process Fundamentals
Conference materials > Papers
 Record created 2015-11-04, last modified 2023-12-11


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