Incremental maintenance of discovered association rules and approximate dependencies

Alonso, Alain Pérez; Blanco, Ignacio J.; González-González, Luisa; Chica, José María Serrano

doi:10.3233/ida-150434

Cited by 6 publications

(1 citation statement)

References 32 publications

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“…It allows answering queries during the maintenance process. To efficiently maintain extracted valuable information through mining ARs (Association Rules), Pérez-Alonso et al 121 proposed two active algorithms for incremental maintenance a wide range of rule metrics ARs simultaneously. They proposed to compute data operations in real-time, in order to create a reduced relevant instance set.…”

Section: Rules-based Approachesmentioning

confidence: 99%

Materialized View Maintenance: Issues, Classification, and Open Challenges

Sebaa

Tari

2019

Int. J. Coop. Info. Syst.

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Views materialization is a powerful technique for optimization of query evaluation. However, when data sources are updated, these materialized views (MVs) should be maintained in order to get appropriate queries’ answers. This work provides an overview of the research field of view maintenance, focusing on view maintenance issues and dimensions that cover the most important ones proposed in the literature review. We provide a classification and review the state-of-the-art of view maintenance approaches according to several parameters characterizing their algorithms, including information considered during the view maintenance process, principle used, and the execution mechanism. We provide the most important performance evaluation metrics of view maintenance process while performing a comparative study of some important approaches. Lastly, we give comprehensive perspectives on view maintenance in the different promising environments of MV applications.

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Section: Rules-based Approachesmentioning

confidence: 99%