Howard J Hamilton
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Interestingness measures for data mining: A survey
L Geng, HJ Hamilton
ACM Computing Surveys (CSUR) 38 (3), 9-es, 2006
A foundational approach to mining itemset utilities from databases
H Yao, HJ Hamilton, CJ Butz
Proceedings of the 2004 SIAM International Conference on Data Mining, 482-486, 2004
Mining itemset utilities from transaction databases
H Yao, HJ Hamilton
Data & Knowledge Engineering 59 (3), 603-626, 2006
Knowledge discovery and measures of interest
RJ Hilderman, HJ Hamilton
Springer Science & Business Media, 2013
Quality measures in data mining
F Guillet, HJ Hamilton
Springer Science & Business Media, 2007
Knowledge discovery and interestingness measures: A survey
RJ Hilderman, HJ Hamilton
Department of Computer Science, University of Regina, 1999
A unified framework for utility-based measures for mining itemsets
H Yao, HJ Hamilton, L Geng
Proc. of ACM SIGKDD 2nd Workshop on Utility-Based Data Mining, 28-37, 2006
DBRS: A density-based spatial clustering method with random sampling
X Wang, HJ Hamilton
Advances in Knowledge Discovery and Data Mining: 7th Pacific-Asia Conference …, 2003
Mining functional dependencies from data
H Yao, HJ Hamilton
Data Mining and Knowledge Discovery 16, 197-219, 2008
RIAC: a rule induction algorithm based on approximate classification
HJ Hamilton, N Cercone, N Shan
Computer Science Department, University of Regina, 1996
Evaluation of interestingness measures for ranking discovered knowledge
RJ Hilderman, HJ Hamilton
Pacific-asia conference on knowledge discovery and data mining, 247-259, 2001
Efficient attribute-oriented generalization for knowledge discovery from large databases
CL Carter, HJ Hamilton
IEEE Transactions on knowledge and data engineering 10 (2), 193-208, 1998
Extracting share frequent itemsets with infrequent subsets
B Barber, HJ Hamilton
Data Mining and Knowledge Discovery 7, 153-185, 2003
FD/spl I. bar/Mine: discovering functional dependencies in a database using equivalences
H Yao, HJ Hamilton, CJ Butz
2002 IEEE International Conference on Data Mining, 2002. Proceedings., 729-732, 2002
Using Rough Sets as Tools for Knowledge Discovery.
N Shan, W Ziarko, HJ Hamilton, N Cercone
KDD, 263-268, 1995
Choosing the right lens: Finding what is interesting in data mining
L Geng, HJ Hamilton
Quality measures in data mining, 3-24, 2007
Applying objective interestingness measures in data mining systems
RJ Hilderman, HJ Hamilton
European conference on principles of data mining and knowledge discovery …, 2000
Share based measures for itemsets
CL Carter, HJ Hamilton, N Cercone
Principles of Data Mining and Knowledge Discovery: First European Symposium …, 1997
Heuristic measures of interestingness
RJ Hilderman, HJ Hamilton
Principles of Data Mining and Knowledge Discovery: Third European Conference …, 1999
Data mining in large databases using domain generalization graphs
RJ Hilderman, HJ Hamilton, N Cercone
Journal of Intelligent Information Systems 13, 195-234, 1999
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