Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
477162 | European Journal of Operational Research | 2009 | 11 Pages |
Abstract
Supervised classification is an important part of corporate data mining to support decision making in customer-centric planning tasks. The paper proposes a hierarchical reference model for support vector machine based classification within this discipline. The approach balances the conflicting goals of transparent yet accurate models and compares favourably to alternative classifiers in a large-scale empirical evaluation in real-world customer relationship management applications. Recent advances in support vector machine oriented research are incorporated to approach feature, instance and model selection in a unified framework.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Stefan Lessmann, Stefan Voß,