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2018 | OriginalPaper | Chapter

Unified-Processing of Flexible Division Dealing with Positive and Negative Preferences

Authors : Noussaiba Benadjimi, Walid Hidouci

Published in: Computational Intelligence and Its Applications

Publisher: Springer International Publishing

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Abstract

Nowadays, current trends of universal quantification-based queries are been oriented towards flexible ones (tolerant queries and-or those involving preferences). In this paper, we are interested in universal quantification-like queries dealing with both positive or negative preferences (requirements or prohibitions), considered separately or simultaneously. We have emphasised the improvement of the proposed operator, by designing new variants of the classical Hash-Division algorithm, presented in [1], for dealing with our context. The parallel implementation is also presented, and the issue of answers ranking is dealt with. Computational experiments are carried out in both sequential and parallel versions. They shows the relevance of our approach and demonstrate that the new operator outperforms the conventional one with respect to performance (the gain exceeds a ratio of 40).

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Footnotes
1
As in the basic version, the bitmap is initialized with 0 in all their bits.
 
2
In the literature, up to now and as far as we know, the largest set used in the experimentations never exceed a cardinality of \(3.10^4\) tuples in the dividend relation.
 
3
The additional cost comes from the fact that the communication time between nodes is more expensive than the run-time of algorithms in each node.
 
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Metadata
Title
Unified-Processing of Flexible Division Dealing with Positive and Negative Preferences
Authors
Noussaiba Benadjimi
Walid Hidouci
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-89743-1_54

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