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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Churn Discovery On Large Telecom Data With Apriori Algorithm |
| Authors Name: | Roopa B , Dr. R. Nagaraja , T. Shilpa |
| Unique Id: | IJSDR1809017 |
| Published In: | Volume 3 Issue 9, September-2018 |
| Abstract: | Basically, customers are provided with an opportunity to switch from one service provider to another service provider in Telecommunication industries. Telecom industries are currently more concerned about the churn customers due to competition in the market with other telecom industries. In order to have a deeper understanding of customer churn, apriori algorithm is used to show the most accurate churn prediction. Telecom industries enhance their services to reduce the number of customer churn. In this project ,attribute selection method based on apriori technique is used. According to this algorithm attribute selection problem can be replaced. A sample dataset is used to test the algorithm and obtain the number of customer who fall under churn based on the threshold value provided. The threshold value is calculated with mean weighted average vector. Recent, a robust churn prediction model has been applied in telecom industries. |
| Keywords: | Apriori,SeedPattern,Data extraction |
| Cite Article: | "Churn Discovery On Large Telecom Data With Apriori Algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 9, page no.107 - 113, September-2018, Available :http://www.ijsdr.org/papers/IJSDR1809017.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR1809017 Registration ID:180636 Published In: Volume 3 Issue 9, September-2018 DOI (Digital Object Identifier): Page No: 107 - 113 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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