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Use of Clustering for Creating Economic-Mathematical Model of Aweb Portal

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F19%3A00331795" target="_blank" >RIV/68407700:21260/19:00331795 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.14311/NNW.2019.29.005" target="_blank" >https://doi.org/10.14311/NNW.2019.29.005</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.14311/NNW.2019.29.005" target="_blank" >10.14311/NNW.2019.29.005</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Use of Clustering for Creating Economic-Mathematical Model of Aweb Portal

  • Original language description

    This article describes the mathematical economic model of a communication web portal. To create the model, we use Cluster analysis as one of the areas of artificial inteligence. Based on real data obtained from the operation of the communication web portal and the subsequent identification of the individual data clusters, a model is created that mathematically describes the dependence of economic variables (income from sales of services and selling price of services) on other variables (time of sales of services and field of offered services). Using this analysis, the model clusters together all data to parameterized sets of given properties. The main purpose of creating a model is the suitable classification of data. Consequently, it is possible to streamline the sale of the services and maximize the profits of web portals offering this type of serviced.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50206 - Finance

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Neural Network World

  • ISSN

    1210-0552

  • e-ISSN

  • Volume of the periodical

    29

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    10

  • Pages from-to

    61-70

  • UT code for WoS article

    000467937000001

  • EID of the result in the Scopus database

    2-s2.0-85067368878