C4.5: programs for machine learning
C4.5: programs for machine learning
Machine Learning
Principles of data mining
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Action-Rules: How to Increase Profit of a Company
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Mining Optimal Actions for Profitable CRM
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Postprocessing Decision Trees to Extract Actionable Knowledge
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Extracting Actionable Knowledge from Decision Trees
IEEE Transactions on Knowledge and Data Engineering
A maximally diversified multiple decision tree algorithm for microarray data classification
WISB '06 Proceedings of the 2006 workshop on Intelligent systems for bioinformatics - Volume 73
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Most data mining algorithms and tools when applied to industrial problems such as Customer Relationship Management, insurance and banking they stop search at producing actual applicable knowledge. Unlike these models, actionable knowledge discovery techniques are useful in pointing out customers who are likely attritors and loyal. However, actionable knowledge discovery techniques require human experts to postprocess the discovered knowledge manually. Postprocessing is one of the actionable knowledge discovery techniques which are effective in decision making and overcomes considerable inefficiency which leads to human errors that are inherent in the traditional data mining systems. Hence, decision trees are postprocessed which suggest cost effective actions in order to maximize the profit based objective function. In the proposed approach, an effective actionable knowledge discovery based classification algorithm namely Actionable Multiple Decision Trees (AMDT) is developed to improve the robustness and classification accuracy and tests are conducted on UCI German benchmark data.