Analyzing Data Using Apriori Algorithm
| 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.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.identifier.uri | https://depot.univ-msila.dz/handle/123456789/25850 | |
| 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 |