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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50206 - Finance
Result continuities
Project
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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
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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