Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387233902> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W4387233902 abstract "In the course of a computational experiment on bank customer churn data, we demonstrate the explanatory and predictive capacity of monotonic decision rules. The data exhibit a partially ordinal character, as certain attribute value sets describing the clients are ordered and demonstrate a monotonic relationship with churn or non-churn outcomes. The data are structured by the Variable Consistency Dominance-based Rough Set Approach (VC-DRSA) prior to the induction of monotonic decision rules. The supervised learning is conducted using an extended version of VC-DRSA, implemented in RuLeStudio and RuleVisualization programs. The first one is designed to experiment with parameterized rule models, and the second one is used for visualization and a thorough examination of the rule model. The monotonic decision rules give insight into the bank data, characterizing loyal customers and the ones who left the bank. Such an approach is in line with explainable AI, aiming to obtain a transparent decision model, that can be easily understood by decision-makers. We also compare the predictive performance of monotonic rules with some well-known machine learning models." @default.
- W4387233902 created "2023-10-02" @default.
- W4387233902 creator A5066270253 @default.
- W4387233902 creator A5070170207 @default.
- W4387233902 date "2023-10-01" @default.
- W4387233902 modified "2023-10-15" @default.
- W4387233902 title "Explaining and predicting customer churn by monotonic rules induced from ordinal data" @default.
- W4387233902 cites W1193651548 @default.
- W4387233902 cites W1670263352 @default.
- W4387233902 cites W1966032083 @default.
- W4387233902 cites W1984210936 @default.
- W4387233902 cites W2000378335 @default.
- W4387233902 cites W2003184481 @default.
- W4387233902 cites W2032225949 @default.
- W4387233902 cites W2044876976 @default.
- W4387233902 cites W2048755952 @default.
- W4387233902 cites W2052719321 @default.
- W4387233902 cites W2054640944 @default.
- W4387233902 cites W2101285186 @default.
- W4387233902 cites W2123877644 @default.
- W4387233902 cites W2290893725 @default.
- W4387233902 cites W2558749735 @default.
- W4387233902 cites W2792328488 @default.
- W4387233902 cites W2911964244 @default.
- W4387233902 cites W2963971242 @default.
- W4387233902 cites W3044079317 @default.
- W4387233902 cites W3101981467 @default.
- W4387233902 cites W4255833381 @default.
- W4387233902 doi "https://doi.org/10.1016/j.ejor.2023.09.028" @default.
- W4387233902 hasPublicationYear "2023" @default.
- W4387233902 type Work @default.
- W4387233902 citedByCount "0" @default.
- W4387233902 crossrefType "journal-article" @default.
- W4387233902 hasAuthorship W4387233902A5066270253 @default.
- W4387233902 hasAuthorship W4387233902A5070170207 @default.
- W4387233902 hasBestOaLocation W43872339021 @default.
- W4387233902 hasConcept C110313322 @default.
- W4387233902 hasConcept C111012933 @default.
- W4387233902 hasConcept C11413529 @default.
- W4387233902 hasConcept C119857082 @default.
- W4387233902 hasConcept C124101348 @default.
- W4387233902 hasConcept C134306372 @default.
- W4387233902 hasConcept C149782125 @default.
- W4387233902 hasConcept C154945302 @default.
- W4387233902 hasConcept C165464430 @default.
- W4387233902 hasConcept C2776436953 @default.
- W4387233902 hasConcept C2776780472 @default.
- W4387233902 hasConcept C33923547 @default.
- W4387233902 hasConcept C41008148 @default.
- W4387233902 hasConcept C5274069 @default.
- W4387233902 hasConcept C72169020 @default.
- W4387233902 hasConcept C84525736 @default.
- W4387233902 hasConcept C84839998 @default.
- W4387233902 hasConcept C85461838 @default.
- W4387233902 hasConceptScore W4387233902C110313322 @default.
- W4387233902 hasConceptScore W4387233902C111012933 @default.
- W4387233902 hasConceptScore W4387233902C11413529 @default.
- W4387233902 hasConceptScore W4387233902C119857082 @default.
- W4387233902 hasConceptScore W4387233902C124101348 @default.
- W4387233902 hasConceptScore W4387233902C134306372 @default.
- W4387233902 hasConceptScore W4387233902C149782125 @default.
- W4387233902 hasConceptScore W4387233902C154945302 @default.
- W4387233902 hasConceptScore W4387233902C165464430 @default.
- W4387233902 hasConceptScore W4387233902C2776436953 @default.
- W4387233902 hasConceptScore W4387233902C2776780472 @default.
- W4387233902 hasConceptScore W4387233902C33923547 @default.
- W4387233902 hasConceptScore W4387233902C41008148 @default.
- W4387233902 hasConceptScore W4387233902C5274069 @default.
- W4387233902 hasConceptScore W4387233902C72169020 @default.
- W4387233902 hasConceptScore W4387233902C84525736 @default.
- W4387233902 hasConceptScore W4387233902C84839998 @default.
- W4387233902 hasConceptScore W4387233902C85461838 @default.
- W4387233902 hasLocation W43872339021 @default.
- W4387233902 hasOpenAccess W4387233902 @default.
- W4387233902 hasPrimaryLocation W43872339021 @default.
- W4387233902 hasRelatedWork W1572610764 @default.
- W4387233902 hasRelatedWork W2568280491 @default.
- W4387233902 hasRelatedWork W2798701209 @default.
- W4387233902 hasRelatedWork W2914173981 @default.
- W4387233902 hasRelatedWork W2963953154 @default.
- W4387233902 hasRelatedWork W4214891796 @default.
- W4387233902 hasRelatedWork W4234336848 @default.
- W4387233902 hasRelatedWork W4236496007 @default.
- W4387233902 hasRelatedWork W4237346635 @default.
- W4387233902 hasRelatedWork W4300104397 @default.
- W4387233902 isParatext "false" @default.
- W4387233902 isRetracted "false" @default.
- W4387233902 workType "article" @default.