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dc.contributor.author |
SLIMANE KADI, CHEYMA |
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dc.contributor.author |
Supervised : LOUNNAS, Bilal |
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dc.date.accessioned |
2021-09-13T14:16:25Z |
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dc.date.available |
2021-09-13T14:16:25Z |
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dc.date.issued |
2021-06-10 |
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dc.identifier.uri |
http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/25850 |
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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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