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Indexing Evidential Data

Abstract : Querying imperfect data received increasing at-tention in the area of database management. The complexity and the volume of imperfect data requires advanced techniques for efficient access, and satisfying user-queries in a reasonable response time. In this paper, we are particularly interested in evidential databases, i.e., databases where imperfection is represented through Dempster-Shafer theory. To answer user-queries in such databases, we propose a new index system based on a tree data structure (e-Tree) that is adapted to the complexity of the evidential data. The experiments done on our solution showed encouraging results.
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  • HAL Id : hal-01107720, version 1

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Anouar Jammali, Mohamed Anis Bach Tobji, Arnaud Martin, Boutheina Ben Yaghlane. Indexing Evidential Data. Third World Conference on Complex Systems, Nov 2014, Marrakech, Morocco. ⟨hal-01107720⟩

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