Search Results - "D. Van den Poel"

Neural Network Survival Analysis for Personal Loan Data by B. Baesens, T. Van Gestel, Stepanova, M., D. Van den Poel, J. Vanthienen

“…Traditionally, credit scoring aimed at distinguishing good payers from bad payers at the time of the application. The timing when customers default is also…”
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A compared R&D-based and patent-based cross impact analysis for identifying relationships between technologies by Thorleuchter, D., den Poel, D. Van, Prinzie, A.

“…The planning of technological research and development (R&D) is demanding in areas with many relationships between technologies. To support decision makers of…”
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Handling class imbalance in customer churn prediction by Burez, J., Van den Poel, D.

“…Customer churn is often a rare event in service industries, but of great interest and great value. Until recently, however, class imbalance has not received…”
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Idea mining for web-based weak signal detection by Thorleuchter, D., Van den Poel, D.

“…•Use idea mining to improve weak signal analysis.•Identify weak and strong signals in self-sufficient energy supply.•Improve strategic decision making. We…”
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Identification of interdisciplinary ideas by Thorleuchter, D., Van den Poel, D.

“…•Combine idea mining, semantic clustering, and classification.•Identify ideas of an interdisciplinary nature.•Improve decision making in innovation management…”
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Web mining based extraction of problem solution ideas by Thorleuchter, D., Van den Poel, D.

“…► Use web mining to extract relevant text patterns from the internet. ► Use assignment of extracted text patterns to domains. ► Identify idea characteristics…”
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Integrating expert knowledge and multilingual web crawling data in a lead qualification system by D’Haen, J., Van den Poel, D., Thorleuchter, D., Benoit, D.F.

“…Qualifying prospects as leads to contact is a complex exercise. Sales representatives often do not have the time or resources to rationally select the best…”
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The impact of sample bias on consumer credit scoring performance and profitability by Verstraeten, G, Van den Poel, D

“…This article seeks to gain insight into the influence of sample bias in a consumer credit scoring model. In earlier research, sample bias has been suggested to…”
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Enhanced decision support in credit scoring using Bayesian binary quantile regression by Miguéis, V L, Benoit, D F, Van den Poel, D

“…Fierce competition as well as the recent financial crisis in financial and banking industries made credit scoring gain importance. An accurate estimation of…”
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Knowledge discovery in a direct marketing case using least squares support vector machines by Viaene, S., Baesens, B., Van Gestel, T., Suykens, J. A. K., Van den Poel, D., Vanthienen, J., De Moor, B., Dedene, G.

“…We study the problem of repeat‐purchase modeling in a direct marketing setting using Belgian data. More specifically, we investigate the detection and…”
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Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques by Coussement, Kristof, Van den Poel, Dirk

“…CRM gains increasing importance due to intensive competition and saturated markets. With the purpose of retaining customers, academics as well as practitioners…”
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Weak signal identification with semantic web mining by Thorleuchter, Dirk, Van den Poel, Dirk

“…•Use web mining for an environmental scanning.•Use latent semantic indexing to identify semantic textual patterns.•Use weak signal maximization approach to…”
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An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction by De Bock, Koen W., Poel, Dirk Van den

“…► In this article, two rotation-based ensemble classifiers (Rotation Forest and RotBoost) are applied to customer churn prediction. ► Several variations of…”
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Predicting customer retention and profitability by using random forests and regression forests techniques by Larivière, Bart, Van den Poel, Dirk

“…In an era of strong customer relationship management (CRM) emphasis, firms strive to build valuable relationships with their existing customer base. In this…”
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Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers by Coussement, Kristof, Poel, Dirk Van den

“…Predicting customer churn with the purpose of retaining customers is a hot topic in academy as well as in today’s business environment. Targeting the right…”
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Predicting online-purchasing behaviour by Van den Poel, Dirk, Buckinx, Wouter

“…This empirical study investigates the contribution of different types of predictors to the purchasing behaviour at an online store. We use logit modelling to…”
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Integrating the voice of customers through call center emails into a decision support system for churn prediction by Coussement, Kristof, Van den Poel, Dirk

“…We studied the problem of optimizing the performance of a DSS for churn prediction. In particular, we investigated the beneficial effect of adding the voice of…”
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Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting by Buckinx, Wouter, Van den Poel, Dirk

“…Customer relationship management (CRM) enjoys increasing attention as a countermeasure to switching behaviour of customers. Because foregone profits of…”
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Customer attrition analysis for financial services using proportional hazard models by Van den Poel, Dirk, Larivière, Bart

“…This paper studies the topic of customer attrition in the context of a European financial services company. More specifically, we investigate predictors of…”
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Quantitative cross impact analysis with latent semantic indexing by Thorleuchter, Dirk, Van den Poel, Dirk

“…•Use latent semantic indexing to identify semantic textual patterns.•Use semantic textual patterns to identify events.•Use events for cross-impact…”
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