Theory-driven or process-driven prediction? Epistemological challenges of big data analytics

Most scientists are accustomed to make predictions based on consolidated and accepted theories pertaining to the domain of prediction. However, nowadays big data analytics (BDA) is able to deliver predictions based on executing a sequence of data processing while seemingly abstaining from being theo...

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Bibliographic Details
Published in:	Journal of big data Vol. 4; no. 1; pp. 1 - 20
Main Authors:	Elragal, Ahmed, Klischewski, Ralf
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 23.06.2017 Springer Nature B.V SpringerOpen
Subjects:	Analytics Big Data Big Data Analytics Communications Engineering Computational Science and Engineering Computer Science Consolidation Data analysis Data management Data Mining and Knowledge Discovery Data processing Database Management Epistemological challenges Epistemology Information Storage and Retrieval Information Systems Information systems theories Informationssystem Mathematical analysis Mathematical Applications in Computer Science Networks Predictions Predictive research Preprocessing Studies Theory Big data analytics Information systems theories Epistemological challenges Predictive research
ISSN:	2196-1115, 2196-1115
Online Access:	Get full text
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