Performance Analysis of Undersampling Approaches for Solving Customer Churn Prediction-Reference-Cited by-同舟云学术

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Performance Analysis of Undersampling Approaches for Solving Customer Churn Prediction

Published:2021 Issue: Volume: Page:341-347
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Ambildhuke Geeta Mahadeo,Rekha Gillala,Tyagi Amit Kumar

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-9689-6_37

Reference15 articles.

1. Blondel VD, Decuyper A, Krings G (2015) A survey of results on mobile phone datasets analysis. EPJ Data Sci 4(1):10

2. Kraljević G, Gotovac S (2010) Modeling data mining applications for prediction of prepaid churn in telecommunication services. Automatika 51(3):275–283

3. Rekha G, Tyagi AK (2019) Cluster-based under-sampling using farthest neighbour technique for imbalanced datasets. In: 10th International conference on innovations in bio-inspired computing and applications (IBICA 2019). Springer

4. Rekha G, Reddy VK, Tyagi AK (2020) A novel approach for solving skewed classification problem using cluster based ensemble method. Math Found Comput

5. Rekha G, Tyagi AK, Krishna Reddy V (2019) Solving class imbalance problem using bagging, boosting techniques, with and without using noise filtering method. Int J Hybrid Intell Syst (Preprint), pp 1–10

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