Clustering retail products based on customer behaviour
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F17%3A00050906" target="_blank" >RIV/61384399:31140/17:00050906 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1568494617300728" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1568494617300728</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.asoc.2017.02.004" target="_blank" >10.1016/j.asoc.2017.02.004</a>
Alternative languages
Result language
angličtina
Original language name
Clustering retail products based on customer behaviour
Original language description
Main topics of the document: product categorization; cluster analysis; genetic algorithm; retail business; drugstore market
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
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/GBP402%2F12%2FG097" target="_blank" >GBP402/12/G097: DYME-Dynamic Models in Economics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Soft Computing
ISSN
1568-4946
e-ISSN
—
Volume of the periodical
60
Issue of the periodical within the volume
1
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
11
Pages from-to
752-762
UT code for WoS article
000414072200056
EID of the result in the Scopus database
2-s2.0-85014266564