The Utilization Statistical and Data Mining Techniques for Data-analysis Automatically Measured from Technological Process

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 Utilization Statistical and Data Mining Techniques for Data-analysis Automatically Measured from Technological Process

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

The Utilization Statistical and Data Mining Techniques for Data-analysis Automatically Measured from Technological Process

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2002

Kód důvěrnosti údajů

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

Název statě ve sborníku

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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Počet stran výsledku

5

Strana od-do

475-480

Název nakladatele

Vysoká škola báňská - Technická univerzita Ostrava

Místo vydání

Ostrava

Místo konání akce

Bouzov, Czech Republics

Datum konání akce

9. 9. 2002

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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