Analyzing Data Using Apriori Algorithm

dc.contributor.authorSLIMANE KADI, CHEYMA
dc.contributor.authorSupervised : LOUNNAS, Bilal
dc.date.accessioned2021-09-13T14:16:25Z
dc.date.available2021-09-13T14:16:25Z
dc.date.issued2021-06-10
dc.description.abstractThe 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.identifier.urihttps://depot.univ-msila.dz/handle/123456789/25850
dc.language.isoenen_US
dc.publisherUniversity of M'silaen_US
dc.subjectBusiness Intelligence System, Data Mining Application , Apriori Algorithm Application , Data Science.en_US
dc.titleAnalyzing Data Using Apriori Algorithmen_US
dc.typeThesisen_US

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