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20192025
most citedAn Approach Based on Bayesian Networks for Query Selectivity Estimation

12 citations · 13 across the 5 of their papers we have counts for

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cs.DB2025

TCDRM: A Tenant Budget-Aware Data Replication Framework for Multi-Cloud Computing

Santatra Hagamalala Bernardin, Riad Mokadem, Franck Morvan +2

Multi-cloud computing systems face significant challenges in ensuring acceptable performance while adhering to tenant budget requirements. This paper proposes a tenant budget-aware…

cs.DB2024

Equi join query acceleration using algebraic signatures (Published at IADIS'2008 Applied Computing conf.)

Riad Mokadem, Abdelkader Hameurlain, Franck Morvan

Evaluation of join queries is very challenging since they have to deal with an increasing data size. We study the relational join query processing realized by hash tables and we fo…

cs.DB20201 cited

Selectivity correction with online machine learning

Max Halford, Philippe Saint-Pierre, Franck Morvan

Computer systems are full of heuristic rules which drive the decisions they make. These rules of thumb are designed to work well on average, but ignore specific information about t…

cs.DB2020

Selectivity Estimation with Attribute Value Dependencies using Linked Bayesian Networks

Max Halford, Philippe Saint-Pierre, Franck Morvan

Relational query optimisers rely on cost models to choose between different query execution plans. Selectivity estimates are known to be a crucial input to the cost model. In pract…

cs.DB201912 cited

An Approach Based on Bayesian Networks for Query Selectivity Estimation

Max Halford, Philippe Saint-Pierre, Frank Morvan

The efficiency of a query execution plan depends on the accuracy of the selectivity estimates given to the query optimiser by the cost model. The cost model makes simplifying assum…