Dedic, Nedim and STANIER, Clare (2016) Towards Differentiating Business Intelligence, Big Data, Data Analytics and Knowledge Discovery. In: Lecture Notes in Business Information Processing (LNBIP) 285. Lecture Notes in Business Information Processing (LNBIP), ch 10 . Springer International Publishing AG 2017, Vienna.
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Abstract or description
Abstract. Confusion, ambiguity and misunderstanding of the concepts and terminology regarding different approaches concerned with analysing massive data sets (Business Intelligence, Big Data, Data Analytics and Knowledge Discovery) was identified as a significant issue faced by many academics, fellow researchers, industry professionals and domain experts. In that context, a need to critically evaluate these concept and approaches focusing on their similarities, differences and relationships was identified as useful for further research and industry professionals. In this position paper, we critically review these four approaches and produce a framework, which provides visual representation of the relationship between them to effectively support their identification and easier differentiation
Item Type: | Book Chapter, Section or Conference Proceeding |
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Faculty: | School of Computing and Digital Technologies > Computing |
Depositing User: | Clare STANIER |
Date Deposited: | 29 Jun 2017 13:33 |
Last Modified: | 24 Feb 2023 03:48 |
URI: | https://eprints.staffs.ac.uk/id/eprint/3551 |