Whale optimization algorithm for solving association rule mining
| dc.contributor.author | zabi et kadiri, amira et houria | |
| dc.date.accessioned | 2020-12-06T13:36:28Z | |
| dc.date.available | 2020-12-06T13:36:28Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | Nowadays with a large number of connected devices, the stored data has grown significantly. The use of the information stored in it to make decisions for the sake of convenience. Association rule mining directs researchers into extracting relationships between objects in the data. The aim of this thesis is to propose ways to solve problems related to mining and data mining, in order to extract the largest possible number of valid rules in the shortest possible time. In this work: We adopted the principle of the whale algorithm and its application in order to solve the association rules of mining | en_US |
| dc.identifier.uri | http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/21699 | |
| dc.language.iso | en | en_US |
| dc.publisher | FACULTE DES MATHEMATIQUES ET DE L’INFORMATIQUE DEPARTEMENT D’INFORMATIQUE - Spécialité : Informatique Décisionnel et Optimisation | en_US |
| dc.subject | Association rule mining, Whale optimization algorithm, Support,, Confidence, swarm inspired algorithm | en_US |
| dc.title | Whale optimization algorithm for solving association rule mining | en_US |
| dc.type | Thesis | en_US |