Gilbert Swinnen

Publications31
h-index10
Citations950
Highly Influential Citations54
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Using association rules for product assortment decisions: a case study
TLDR
This study integrates the discovery of frequent itemsets with a (microeconomic) model for product selection (PROFSET). Expand
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Building an Association Rules Framework to Improve Product Assortment Decisions
TLDR
In this paper, we tackle the problem of product assortment analysis and we introduce a concrete microeconomic integer-programming model for product selection (PROFSET). Expand
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Assessing the value of commonly used methods for measuring customer value: a multi-setting empirical study
Despite the importance of customer value, considerable divergence of opinion exists on how to adequately conceptualize and measure this construct. In this study, four commonly used methods for… Expand
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A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model
TLDR
In recent years, data mining researchers have developed efficient association rule algorithms for retail market basket analysis. Expand
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Measurement equivalence in the conduct of a global organizational survey across countries in six cultural regions
This study examined the measurement equivalence of a global organizational survey measuring six work climate factors as administered across 25 countries (N = 31, 315) in all regions of the world… Expand
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Innovation patterns in manufacturing and services : sectoral-determinism or strategic-choice ? A multivariate analysis of CIS-3 data
This paper presents the results from a multivariate (factor and cluster) analysis of the variation in innovation processes of manufacturing and service firms. Using data from the third Community… Expand
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COMPARING COMPLETE AND PARTIAL CLASSIFICATION FOR IDENTIFYING CUSTOMERS AT RISK
TLDR
This paper evaluates complete versus partial classification for the problem of identifying customers at risk. Expand
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A Data Mining Framework for Optimal Product Selection in Convenience Stores
TLDR
This paper makes an attempt at integrating category management knowledge into the knowledge discovery process in order to obtain more useful results, i.e. results that can better be used for concrete decision-making in retailing. Expand
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The improvement of response modeling: combining rule-induction and case-based reasoning
TLDR
We propose a combined approach of rule-induction and case-based reasoning to improve the response modeling. Expand
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Determining potential locations for biomass valorization using a macro screening approach
Abstract European policy states that by 2020 at least 20% of final energy consumption should come from renewable energy sources. Biomass as a renewable energy source cannot be disregarded in order to… Expand
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