C4.5: programs for machine learning
C4.5: programs for machine learning
The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Option Decision Trees with Majority Votes
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Research Report: Volume Rendering for Relational Data
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
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MineSet™ is a commercial data mining product from Silicon Graphics. It provides an interactive platform for data mining, integrating three powerful technologies: database and file access, analytical data mining engines, and data visualization. MineSet supports the knowledge discovery process from data access and preparation through iterative analysis and visualization to deployment. MineSet uses a client-server architecture for scalability and support of large data. The data access component provides a rich set of transformations that can be used to process stored data into forms appropriate for visualization and analytical mining. MineSet's two- and three-dimensional visualization capabilities allow direct data visualization for exploratory analysis. The analytical mining algorithms create models that can be viewed using visualization tools specialized for the learned models or deployed as part of a larger system. Third party vendors can interface to the MineSet tools for model deployment and for integration with other packages.