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Chapter

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Title

Customer churn analytics using monotonic rules

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2023

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • Dominance-based Rough Set Approach
  • ordinal classification with monotonicity constraints
  • monotonic decision rules
  • customer churn
Abstract

EN Using bank customer churn data, we demonstrate the explanatory and predictive capacity of monotonic decision rules. Since the data are partially ordinal, they are structured by a new version of the Variable Consistency Dominance-based Rough Set Approach before the induction of monotonic decision rules. The induced rules characterize loyal customers and the ones who left the bank. Such an approach is in line with explainable AI, aiming to obtain a transparent and understandable decision model. In the course of a computational experiment, we compare the predictive performance of monotonic rules with several well-known machine learning models.

Pages (from - to)

287 - 292

DOI

10.34658/9788366741928.46

URL

http://repozytorium.p.lodz.pl/handle/11652/4822

Book

Progress in Polish Artificial Intelligence Research 4

Presented on

4th Polish Conference on Artificial Intelligence PP-RAI'2023, 24-26.04.2023, Łódź, Polska

License type

dla wszystkich w zakresie dozwolonego użytku

Open Access Mode

open repository

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / chapter

20

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