Matches in UGent Biblio for { <https://biblio.ugent.be/publication/3120700#aggregation> ?p ?o. }
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- aggregation classification "A1".
- aggregation creator B510460.
- aggregation creator B510461.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2012".
- aggregation format "application/pdf".
- aggregation hasFormat 3120700.bibtex.
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- aggregation isPartOf urn:issn:1862-5347.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Business and Economics".
- aggregation title "Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences".
- aggregation abstract "Currently, in order to remain competitive companies are adopting customer centered strategies and consequently customer relationship management is gaining increasing importance. In this context, customer retention deserves particular attention. This paper proposes a model for partial churn detection in the retail grocery sector that includes as a predictor the similarity of the products' first purchase sequence with churner and non-churner sequences. The sequence of first purchase events is modeled using Markov for discrimination. Two classification techniques are used in the empirical study: logistic regression and random forests. A real sample of approximately 95,000 new customers is analyzed taken from the data warehouse of a European retailing company. The empirical results reveal the relevance of the inclusion of a products' sequence likelihood in partial churn prediction models, as well as the supremacy of logistic regression when compared with random forests.".
- aggregation authorList BK855682.
- aggregation endPage "353".
- aggregation issue "4".
- aggregation startPage "337".
- aggregation volume "6".
- aggregation aggregates 3153375.
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- aggregation similarTo s11634-012-0121-3.
- aggregation similarTo LU-3120700.