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Comparative Study of Random Forest and Neural Network for Prediction in Direct Marketing · Study

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ChapterComparative Study of Random Forest and Neural Network for Prediction in Direct Marketing

Arushi Gupta2018

Chapter2018

Comparative Study of Random Forest and Neural Network for Prediction in Direct Marketing

Arushi Gupta · Garima Gupta

14 citations·0/0 files stored·Advances in intelligent systems and computing

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Customer churn and segmentation Data Mining and Machine Learning Applications Financial Distress and Bankruptcy Prediction

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References

2014A data-driven approach to predict the success of bank telemarketing 1998Data mining for direct marketing: problems and solutions 2014Bank Direct Marketing Analysis of Data Mining Techniques 2012Direct marketing decision support through predictive customer response modeling 2015Classification and Prediction of Stock Market Index Based on Fuzzy Metagraph 2016Evaluation of Classification and Ensemble Algorithms for Bank Customer Marketing Response Prediction

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Year2018

Typechapter

Published2018-09-18

VenueAdvances in intelligent systems and computing

ISSN-L2194-5357

Languageen

Citations14

Files0 public / 0

ShelfCustomer churn and segmentation

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doi10.1007/978-981-13-1822-1_37

openalex_workW2890230899

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