New OLAP operators for missing data

Ben Kraiem, Maha, Khrouf, Kaïs, Feki, Jamel, Ravat, Franck and Teste, Olivier (2017) New OLAP operators for missing data. In: 13emes Journees Francophones sur les Entrepots de Donnees et l'Analyse en ligne (EDA 2017).

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Abstract

Data analysis of social networks is often impeded by the problem of missing data. Recent studies highlight the negative effects of this problem mainly regarding querying process. The analysis of data social networks would be severely distorted when limited to filled fields (i.e., not null valued fields)whereas missing data are ignored. To overcome the missing data problem, we provide in this paper an extension of classical Drilldown and Rollup operators in order to support analyses on multidimensional datasets containing missing values of dimension members.

Item Type: Conference or Workshop Item (Paper)
Language: English
Date: 2017
Uncontrolled Keywords: Missing data - OLAP analysis - Tweet
Subjects: H- INFORMATIQUE
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 26 Mar 2019 11:06
Last Modified: 26 Mar 2019 11:06
URI: http://publications.ut-capitole.fr/id/eprint/28597

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