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Analyzing Data Using Apriori Algorithm

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dc.contributor.author SLIMANE KADI, CHEYMA
dc.contributor.author Supervised : LOUNNAS, Bilal
dc.date.accessioned 2021-09-13T14:16:25Z
dc.date.available 2021-09-13T14:16:25Z
dc.date.issued 2021-06-10
dc.identifier.uri http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/25850
dc.description.abstract The Work On Business Intelligence an its Tools is One Of The Motivational an improvement that exploit the available data to generate information and useful knowledge for complex decision-making processes. In Our Dissertation we have introduced Hisba-BI an Extension Application That Use an ERP And CRM Management Datastes To Extract From it knowledge That Help in Decision Making , Hisba-BI Use In general Buusiness Intelligence , DataMining and apply Apriori Algorithm To Generate An Associations Rules That Will Help in Decision Making also Hisba-Bi Have a Statistical Parts (Dashboard) That Visualize Data in a better way to Responsible Of The Company. In end of this dissertation, we have developed a Desktop Application , that can Consume Data and Visualize it by Using Charts , Diagram and Generate Association Rules Using The Apriori Algorithm. en_US
dc.language.iso en en_US
dc.publisher University of M'sila en_US
dc.subject Business Intelligence System, Data Mining Application , Apriori Algorithm Application , Data Science. en_US
dc.title Analyzing Data Using Apriori Algorithm en_US
dc.type Thesis en_US

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