The nature of statistical learning theory
The nature of statistical learning theory
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Information visualization in data mining and knowledge discovery
Information visualization in data mining and knowledge discovery
Principles of data mining
Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
Computers and Industrial Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Report on the SIGKDD-2002 panel the perfect data mining tool: interactive or automated?
ACM SIGKDD Explorations Newsletter
Postprocessing Decision Trees to Extract Actionable Knowledge
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Data Mining and Knowledge Discovery Handbook
Data Mining and Knowledge Discovery Handbook
CRM Systems Used for Targeting Market: A Case at Cisco Systems
ICEBE '05 Proceedings of the IEEE International Conference on e-Business Engineering
Extracting Actionable Knowledge from Decision Trees
IEEE Transactions on Knowledge and Data Engineering
Quality Measures in Data Mining (Studies in Computational Intelligence)
Quality Measures in Data Mining (Studies in Computational Intelligence)
Data Mining and Knowledge Discovery
Toward knowledge-driven data mining
Proceedings of the 2007 international workshop on Domain driven data mining
Domain-Driven, Actionable Knowledge Discovery
IEEE Intelligent Systems
Developing Actionable Trading Strategies for Trading Agents
IAT '07 Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Mining Impact-Targeted Activity Patterns in Imbalanced Data
IEEE Transactions on Knowledge and Data Engineering
Data Mining for Business Applications
Data Mining for Business Applications
Domain Driven Data Mining (D3M)
ICDMW '08 Proceedings of the 2008 IEEE International Conference on Data Mining Workshops
Post-mining of Association Rules: Techniques for Effective Knowledge Extraction
Post-mining of Association Rules: Techniques for Effective Knowledge Extraction
Statistical Implicative Analysis: Theory and Applications
Statistical Implicative Analysis: Theory and Applications
Domain-Driven actionable knowledge discovery in the real world
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Prediction of members' return visit rates using a time factor
Electronic Commerce Research and Applications
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The trading activities of materials retail is concerned with an extremely competitive market. However, business people are not well informed about how to proceed and what to do during marketing activities. Data mining methods could be interesting to generate substantial profits for decision makers and to optimize the choice of different marketing activities. In this paper, we propose an actionable knowledge discovery methodology, for one-to-one marketing, which allows to contact the right customer through the right communication channel. This methodology first requires a measurement of the tendency for the customers to purchase a given item, and second requires an optimization of the Return On Investment by selecting the most effective communication channels for attracting these customers. Our methodology has been applied to the VM Matériaux company. Thanks to the collaboration between data miners and decision makers, we present a domain-driven view of knowledge discovery satisfying real business needs to improve the efficiency and outcome of several promotional marketing campaigns.