Market basket analysis for improving the effectiveness of marketing and sales using Apriori, FP Growth and Eclat Algorithm
Cataloged from PDF version of thesis report.
| Հիմնական հեղինակներ: | , , |
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| Ձևաչափ: | Թեզիս |
| Լեզու: | English |
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BRAC Univeristy
2017
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| Առցանց հասանելիություն: | http://hdl.handle.net/10361/8693 |
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10361-8693 |
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10361-86932022-01-26T10:21:49Z Market basket analysis for improving the effectiveness of marketing and sales using Apriori, FP Growth and Eclat Algorithm Khan, Mohammod Akib Solaiman, Kazi Mohammad Pritom, Touhid Hossain Arif, Hossain Department of Computer Science and Engineering, BRAC University Eclat algorithm Apriori Market analysis Data mining Frequent pattern Cataloged from PDF version of thesis report. Includes bibliographical references (pages 59-61). This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Data mining approach with the help of best frequent pattern extracting algorithm can have a big impact in the field of marketing and sales. Frequent pattern mining is a widely researched field in data mining because of its importance in many real life applications. In this thesis, we used the three most popular algorithms in frequent pattern mining for market basket analysis – FP Growth, Apriori, and Eclat. The design and implementation of these three pattern mining algorithms were discussed in detail. All the three algorithms gave consistent output. We did performance comparison and analysis of these algorithms using three different datasets. Recommendations are provided to suggest the best algorithm to use in different contexts. Mohammod Akib Khan Kazi Mohammad Solaiman Touhid Hossain Pritom B. Computer Science and Engineering 2017-12-26T03:33:48Z 2017-12-26T03:33:48Z 2017 8/21/2017 Thesis ID 13301128 ID 13301038 ID 13301125 http://hdl.handle.net/10361/8693 en application/pdf BRAC Univeristy |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Eclat algorithm Apriori Market analysis Data mining Frequent pattern |
| spellingShingle |
Eclat algorithm Apriori Market analysis Data mining Frequent pattern Khan, Mohammod Akib Solaiman, Kazi Mohammad Pritom, Touhid Hossain Market basket analysis for improving the effectiveness of marketing and sales using Apriori, FP Growth and Eclat Algorithm |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Arif, Hossain |
| author_facet |
Arif, Hossain Khan, Mohammod Akib Solaiman, Kazi Mohammad Pritom, Touhid Hossain |
| format |
Thesis |
| author |
Khan, Mohammod Akib Solaiman, Kazi Mohammad Pritom, Touhid Hossain |
| author_sort |
Khan, Mohammod Akib |
| title |
Market basket analysis for improving the effectiveness of marketing and sales using Apriori, FP Growth and Eclat Algorithm |
| title_short |
Market basket analysis for improving the effectiveness of marketing and sales using Apriori, FP Growth and Eclat Algorithm |
| title_full |
Market basket analysis for improving the effectiveness of marketing and sales using Apriori, FP Growth and Eclat Algorithm |
| title_fullStr |
Market basket analysis for improving the effectiveness of marketing and sales using Apriori, FP Growth and Eclat Algorithm |
| title_full_unstemmed |
Market basket analysis for improving the effectiveness of marketing and sales using Apriori, FP Growth and Eclat Algorithm |
| title_sort |
market basket analysis for improving the effectiveness of marketing and sales using apriori, fp growth and eclat algorithm |
| publisher |
BRAC Univeristy |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10361/8693 |
| work_keys_str_mv |
AT khanmohammodakib marketbasketanalysisforimprovingtheeffectivenessofmarketingandsalesusingapriorifpgrowthandeclatalgorithm AT solaimankazimohammad marketbasketanalysisforimprovingtheeffectivenessofmarketingandsalesusingapriorifpgrowthandeclatalgorithm AT pritomtouhidhossain marketbasketanalysisforimprovingtheeffectivenessofmarketingandsalesusingapriorifpgrowthandeclatalgorithm |
| _version_ |
1814309549026312192 |