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001-es BibID:BIBFORM048980
Első szerző:Szűcs Gábor (villamosmérnök)
Cím:Churn Analysis of a Product of Application Search in Mobile Platform / Szűcs Gábor, Kiss Attila
Dátum:2013
ISSN:1582-7941 (Print) 2247-8523 (Online)
Megjegyzések:Churn is a phenomenon when customers of a subscription based business with regular peri-odical fees leave the service provider. In this paper churn is investigated from an economic point of view and analyzed for helping the service provider. The investigated provider is a software provider, whose product can be found in a mobile platform, and it is able to search appropriate mobile applications for users. There are different search services, and this appli-cation search product is a suitable example to investigate the competitive advantage. The usual usage, the functionalities of the product and the customer's behavior are analyzed. One of the largest contributions of this paper is the extended definition of the churn for services in application market, and the appropriate user identification for this definition, furthermore the suggested solution to predict the churn by data mining methods. More predictive data mining models have been elaborated to forecast the churn of customers, and based on a combined model of them a business solution has been provided with more accurate churn prediction.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban
Application Search
Churn
Customer Lifetime Value
Data Mining
Testreszabható tartalomkezelő eljárások
Megjelenés:Economy Informatics. - 13 : 1 (2013), p. 5-15. -
További szerzők:Kiss Attila (1990-) (informatikus)
Pályázati támogatás:TÁMOP-4.2.2.C-11/1/KONV-2012-0001
TÁMOP
Szemantikus multimédia keresőalgoritmusok
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