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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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