A new approach to adaptive data models

Ion Lungu () and Andrei Mihalache ()
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Ion Lungu: University of Economic Studies, Bucharest, Romania
Andrei Mihalache: University of Economic Studies, Bucharest, Romania

Database Systems Journal, 2016, vol. 7, issue 2, 19-27

Abstract: Over the last decade, there has been a substantial increase in the volume and complexity of data we collect, store and process. We are now aware of the increasing demand for real time data processing in every continuous business process that evolves within the organization. We witness a shift from a traditional static data approach to a more adaptive model approach. This article aims to extend understanding in the field of data models used in information systems by examining how an adaptive data model approach for managing business processes can help organizations accommodate on the fly and build dynamic capabilities to react in a dynamic environment.

Keywords: game analytics; metrics; user behavior; Weka; linear regression; forecast; players' retention (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:aes:dbjour:v:7:y:2016:i:2:p:19-27

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