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New OLAP operators for missing data

Ben Kraiem, Maha and Khrouf, Kaïs and Feki, Jamel and Ravat, Franck and Teste, Olivier New OLAP operators for missing data. (2017) In: 13emes Journees Francophones sur les Entrepots de Donnees et l'Analyse en ligne (EDA 2017), 3 May 2017 - 5 May 2017 (Lyon, France).

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Official URL: https://editions-rnti.fr/?inprocid=1002338

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)
Additional Information:Thanks to Hermann editor. This papers appears in volume RNTI-B-13 : EDA 2017 of Revue des Nouvelles Technologies de l'Information. The original PDF is available at: https://editions-rnti.fr/?inprocid=1002338
HAL Id:hal-01809399
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > University of Jeddah (SAUDI ARABIA)
Other partners > Université de Sfax (TUNISIA)
Laboratory name:
Statistics:download
Deposited By: IRIT IRIT
Deposited On:01 Jun 2018 07:34

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