OLAP textual aggregation approach using the Google similarity distance

Abstract

Data warehousing and On-Line Analytical Processing (OLAP) are essential elements to decision support. In the case of textual data, decision support requires new tools, mainly textual aggregation functions, for better and faster high level analysis and decision making. Such tools will provide textual measures to users who wish to analyse documents online. In… (More)
DOI: 10.1504/IJBIDM.2016.076425

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Cite this paper

@article{Bouakkaz2016OLAPTA, title={OLAP textual aggregation approach using the Google similarity distance}, author={Mustapha Bouakkaz and Sabine Loudcher and Youcef Ouinten}, journal={IJBIDM}, year={2016}, volume={11}, pages={31-48} }