Aurélie Lemmens

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In this paper, bagging and boosting techniques are proposed as performing tools for churn prediction. These methods consist of sequentially applying a classification algorithm to resampled or reweigthed versions of the data set. We apply these algorithms on a customer database of an anonymous U.S. wireless telecom company. Bagging is easy to put in practice(More)
AND KEYWORDS Abstract Prior marketing literature has overlooked the role of regulatory regimes in explaining international sales growth of new products. This paper addresses this gap in the context of new pharmaceuticals (15 new molecules in 34 countries) and sheds light on the effect regulatory regimes have on new drug sales across the globe. Based on a(More)
Bagging has been found to be successful in increasing the predictive performance of unstable classifiers. Bagging draws bootstrap samples from the training sample, applies the classifier to each bootstrap sample , and then averages over all obtained classification rules. The idea of trimmed bagging is to exclude the bootstrapped classification rules that(More)
Polymorphisms of the OXTR gene affect people's social interaction styles in various social encounters: carriers of the OXTR GG, compared to the OXTR AA/AG in general, are more motivated to interact socially and detect social salience. We focus on sales professionals operating in knowledge intensive organizations. Study 1, with a sample of 141 sales people,(More)
Working papers are in draft form. This working paper is distributed for purposes of comment and discussion only. It may not be reproduced without permission of the copyright holder. Copies of working papers are available from the author. Please do not copy or distribute without explicit permission of the authors. Abstract Customer defection or churn is a(More)
Bagging has been found to be successful in increasing the predictive performance of unstable classifiers. Bagging draws bootstrap samples from the training sample, applies the classifier to each bootstrap sample , and then averages over all obtained classification rules. The idea of trimmed bagging is to exclude the bootstrapped classification rules that(More)
A novel immunochromatographic membrane-based assay for the detection of specific IgG antibodies to Mycobacterium tuberculosis was evaluated in patients with active tuberculosis in a low-prevalence population. The sensitivity of the test for detecting active tuberculosis was 41.5% (17/41 patients positive); its specificity in a group of patients with other(More)
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