Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Marko Pahor"'
Publikováno v:
Geodetski Vestnik, Vol 65, Iss 01, Pp 46-81 (2021)
The present paper discusses the heterogeneity of the apartment market. For this purpose, we have developed the model for the mass valuation of apartments in the Republic of Slovenia. The construction of the mass valuation model is based on the genera
Externí odkaz:
https://doaj.org/article/5f35c635ebbd450c8f053ce6ee6a5ec3
Autor:
Ana Perišić, Marko Pahor
Publikováno v:
Croatian Operational Research Review, Vol 11, Iss 2, Pp 249-261 (2020)
As markets are becoming increasingly saturated, many businesses are shifting their focus to customer retention. In their need to understand and predict future customer behavior, businesses across sectors are adopting data-driven business intelligence
Externí odkaz:
https://doaj.org/article/faa8f97ff37e481293d79ab6d65c0006
Autor:
Ales Gorisek, Marko Pahor
Publikováno v:
Economic and Business Review, Vol 19, Iss 1, Pp 97-119 (2017)
This paper addresses an evaluation of the methods for automatic item imputation to large datasets with missing data in the particular setting of financial data often used in economic and business settings. The paper aims to bridge the gap between pur
Externí odkaz:
https://doaj.org/article/d9e6d53556a34793b612ca89739595f3
Autor:
Ana Perišić, Marko Pahor
Publikováno v:
Central European Journal of Operations Research. 31:165-190
Marketers have long since understood the importance of customer segmentation and customer churn prediction modelling. However, linking these processes remains a challenge. Customer segmentation is often performed by applying a clustering algorithm on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8b265852dbd414988712518bcd25139
https://doi.org/10.1007/s10100-022-00802-8
https://doi.org/10.1007/s10100-022-00802-8
Publikováno v:
Journal of Neuroscience, Psychology, and Economics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6de4fd3cdb092c65217e3e182aea5556
https://doi.org/10.1037/npe0000172
https://doi.org/10.1037/npe0000172
Publikováno v:
European Journal of Innovation Management, 2015, Vol. 18, Issue 4, pp. 428-450.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EJIM-09-2013-0093
Publikováno v:
Economic and Business Review, Vol 15, Iss 2, Pp 113-133 (2013)
This paper applies a range of metrics to test for the presence of weak form market efficiency in the Eastern European countries that joined the EU in 2004, we test both the years prior to and following accession. The results from our tests indicate t
Externí odkaz:
https://doaj.org/article/1233722ddf3b4a80a13fd3dc95252508
Publikováno v:
Zbornik Veleučilišta u Rijeci
Volume 10
Issue 1
Volume 10
Issue 1
U povodu desete godine objavljivanja časopisa „Zbornik Veleučilišta u Rijeci” rad donosi bibliografiju prvih devet brojeva. Bibliografija uključuje sve radove slijedom objavljivanja te autorsko i predmetno kazalo. Usustavljena, omogućuje ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0405942a7fe6fd3f429b864677c047f8
https://hrcak.srce.hr/file/402241
https://hrcak.srce.hr/file/402241
Churn prediction gained attention across different application fields, both in the business and academic world, and a variety of sophisticated churn prediction models have already been built. One of the most important issues with churn is the lack of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e3672804eb52d76bb22501ba1b5df34
https://www.bib.irb.hr/1169361
https://www.bib.irb.hr/1169361
Autor:
Marko Pahor, Ana Perisic
Predicting player behavior and customer churn is one of the central and most common challenges in game analytics. A crucial stage in developing customer churn prediction model is feature engineering. In the mobile gaming field, features are commonly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46e683aa7cbdb86b21bd81f6b4b34172
https://doi.org/10.1109/tg.2021.3067114
https://doi.org/10.1109/tg.2021.3067114