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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
15812006
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
6472004
Mining itemset utilities from transaction databases
H Yao, HJ Hamilton
Data & Knowledge Engineering 59 (3), 603-626, 2006
4482006
Knowledge discovery and measures of interest
RJ Hilderman, HJ Hamilton
Springer Science & Business Media, 2013
2722013
Quality measures in data mining
F Guillet, HJ Hamilton
Springer, 2007
2372007
Knowledge discovery and interestingness measures: A survey
RJ Hilderman, HJ Hamilton
Department of Computer Science, University of Regina, 1999
2281999
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
1922006
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
1622003
Mining functional dependencies from data
H Yao, HJ Hamilton
Data Mining and Knowledge Discovery 16, 197-219, 2008
1502008
Evaluation of interestingness measures for ranking discovered knowledge
RJ Hilderman, HJ Hamilton
Advances in Knowledge Discovery and Data Mining: 5th Pacific-Asia Conference …, 2001
1352001
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
1341998
RIAC: a rule induction algorithm based on approximate classification
HJ Hamilton, N Cercone, N Shan
Computer Science Department, University of Regina, 1996
1321996
Extracting share frequent itemsets with infrequent subsets
B Barber, HJ Hamilton
Data Mining and Knowledge Discovery 7, 153-185, 2003
1202003
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
1092002
Using Rough Sets as Tools for Knowledge Discovery.
N Shan, W Ziarko, HJ Hamilton, N Cercone
KDD, 263-268, 1995
831995
Choosing the right lens: Finding what is interesting in data mining
L Geng, HJ Hamilton
Quality measures in data mining, 3-24, 2007
792007
Applying objective interestingness measures in data mining systems
RJ Hilderman, HJ Hamilton
Principles of Data Mining and Knowledge Discovery: 4th European Conference …, 2000
772000
Share based measures for itemsets
CL Carter, HJ Hamilton, N Cercone
Principles of Data Mining and Knowledge Discovery: First European Symposium …, 1997
761997
Data mining in large databases using domain generalization graphs
RJ Hilderman, HJ Hamilton, N Cercone
Journal of Intelligent Information Systems 13, 195-234, 1999
651999
Heuristic measures of interestingness
RJ Hilderman, HJ Hamilton
Principles of Data Mining and Knowledge Discovery: Third European Conference …, 1999
651999
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