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Titlebook: Database and Expert Systems Applications; 26th International C Qiming Chen,Abdelkader Hameurlain,Hendrik Decker Conference proceedings 2015

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21#
發(fā)表于 2025-3-25 04:53:13 | 只看該作者
22#
發(fā)表于 2025-3-25 08:55:49 | 只看該作者
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發(fā)表于 2025-3-25 12:27:43 | 只看該作者
24#
發(fā)表于 2025-3-25 17:47:27 | 只看該作者
Implementation of Convex Integrationsensed attributes. We conducted an empirical study on datasets of synthetic sensed data, and the results suggest that D-FOPA is not only able to scale up?to large datasets, but reduces average execution time and number of comparisons of state-of-the-art approaches by up?to one order of magnitude.
25#
發(fā)表于 2025-3-25 22:21:17 | 只看該作者
Implementation of Convex Integrationt implements the mutation and crossover operators differently. Experiments were carried out comparing GraphEvol with GP for a series of composition tasks, with results showing that GraphEvol solutions either match or surpass the quality of those obtained using GP, at the same time relying on a more intuitive representation.
26#
發(fā)表于 2025-3-26 03:52:38 | 只看該作者
27#
發(fā)表于 2025-3-26 05:59:30 | 只看該作者
Sensitive Business Process Modeling for Knowledge Managementto help identify and localize the crucial knowledge that is mobilized and created by these processes. Moreover, it has been illustrated through applying it to a medical process in the context of the organization of protection of the motor disabled people of Sfax-Tunisia (ASHMS).
28#
發(fā)表于 2025-3-26 09:18:31 | 只看該作者
D-FOPA: A Dynamic Final Object Pruning Algorithm to Efficiently Produce Skyline Points Over Data Strsensed attributes. We conducted an empirical study on datasets of synthetic sensed data, and the results suggest that D-FOPA is not only able to scale up?to large datasets, but reduces average execution time and number of comparisons of state-of-the-art approaches by up?to one order of magnitude.
29#
發(fā)表于 2025-3-26 13:04:08 | 只看該作者
GraphEvol: A Graph Evolution Technique for Web Service Compositiont implements the mutation and crossover operators differently. Experiments were carried out comparing GraphEvol with GP for a series of composition tasks, with results showing that GraphEvol solutions either match or surpass the quality of those obtained using GP, at the same time relying on a more intuitive representation.
30#
發(fā)表于 2025-3-26 20:37:12 | 只看該作者
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