Predicting customer lifetime value in performing arts exploiting non-transactional data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31130%2F20%3A00055395" target="_blank" >RIV/61384399:31130/20:00055395 - isvavai.cz</a>
Result on the web
<a href="https://idimt.org/wp-content/uploads/2020/07/IDIMT_proceedings_2020.pdf" target="_blank" >https://idimt.org/wp-content/uploads/2020/07/IDIMT_proceedings_2020.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Predicting customer lifetime value in performing arts exploiting non-transactional data
Original language description
Main topics of the document: customer classification; customer lifetime value; CLV; machine learning; neural networks; random forests; recency; frequency; monetary; RFM
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50602 - Public administration
Result continuities
Project
<a href="/en/project/TL01000262" target="_blank" >TL01000262: Customer Lifetime Value in the Environment of Cultural Institutions</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IDIMT-2020 Digitalized Economy, Society and Information Management, 28th Interdisciplinary Information Management Talks
ISBN
978-3-99062-958-1
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
141-152
Publisher name
Gerhard Chroust
Place of publication
Linz
Event location
Kutná hora
Event date
Sep 2, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000620327400015