Graeme Richards

According to our database1, Graeme Richards authored at least 15 papers between 2001 and 2013.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2013
BruteSuppression: a size reduction method for Apriori rule sets.
J. Intell. Inf. Syst., 2013

2012
What influences the accuracy of decision tree ensembles?
J. Intell. Inf. Syst., 2012

2006
Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms.
J. Math. Model. Algorithms, 2006

Feature salience definition and estimation and its use in feature subset selection.
Intell. Data Anal., 2006

The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification.
Eur. J. Oper. Res., 2006

Investigations on the Characteristics of Random Decision Tree Ensembles.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
The discovery of association rules from tabular databases comprising nominal and ordinal attributes.
Intell. Data Anal., 2005

The Definition and Estimation of Feature Salience in Databases.
Proceedings of the IASTED International Conference on Databases and Applications, 2005

A Fast Wrapper Method for Feature Subset Selection.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

Discovery of Classification Rules from Databases.
Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005

2004
The Application of K-Medoids and PAM to the Clustering of Rules.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Implicit Fitness Sharing Speciation and Emergent Diversity in Tree Classifier Ensembles.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2002
The discovery of association rules from tabular databases comprising nominal and ordinal attributes.
PhD thesis, 2002

2001
Data mining for indicators of early mortality in a database of clinical records.
Artif. Intell. Medicine, 2001

Discovery of Association Rules in Tabular Data.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001


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