Inferring decision trees using the minimum description length principle
Information and Computation
C4.5: programs for machine learning
C4.5: programs for machine learning
Trading Accuracy for Simplicity in Decision Trees
Machine Learning
An efficient algorithm for optimal pruning of decision trees
Artificial Intelligence
BOAT—optimistic decision tree construction
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
SPRINT: A Scalable Parallel Classifier for Data Mining
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Scalable data mining with model constraints
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
SQL database primitives for decision tree classifiers
Proceedings of the tenth international conference on Information and knowledge management
Evaluation of decision trees: a multi-criteria approach
Computers and Operations Research
Post-pruning in decision tree induction using multiple performance measures
Computers and Operations Research
A co-evolving decision tree classification method
Expert Systems with Applications: An International Journal
An experimental evaluation of simplicity in rule learning
Artificial Intelligence
Post-pruning in regression tree induction: An integrated approach
Expert Systems with Applications: An International Journal
Inductive databases in the relational model: the data as the bridge
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
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