Howard J Hamilton
Title
Cited by
Cited by
Year
Interestingness measures for data mining: A survey
L Geng, HJ Hamilton
ACM Computing Surveys (CSUR) 38 (3), 9-es, 2006
14392006
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
5362004
Mining itemset utilities from transaction databases
H Yao, HJ Hamilton
Data & Knowledge Engineering 59 (3), 603-626, 2006
3902006
Knowledge discovery and measures of interest
RJ Hilderman, HJ Hamilton
Springer Science & Business Media, 2013
2652013
Knowledge discovery and interestingness measures: A survey
RJ Hilderman, HJ Hamilton
Department of Computer Science, University of Regina, 1999
2171999
Quality measures in data mining
F Guillet, HJ Hamilton
Springer, 2007
2142007
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
1722006
DBRS: A density-based spatial clustering method with random sampling
X Wang, HJ Hamilton
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 563-575, 2003
1432003
Evaluation of interestingness measures for ranking discovered knowledge
RJ Hilderman, HJ Hamilton
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 247-259, 2001
1332001
Mining functional dependencies from data
H Yao, HJ Hamilton
Data Mining and Knowledge Discovery 16 (2), 197-219, 2008
1312008
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
1281998
RIAC: a rule induction algorithm based on approximate classification
HJ Hamilton, N Cercone, N Shan
Computer Science Department, University of Regina, 1996
1171996
Extracting share frequent itemsets with infrequent subsets
B Barber, HJ Hamilton
Data Mining and Knowledge Discovery 7 (2), 153-185, 2003
1142003
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
832002
Using Rough Sets as Tools for Knowledge Discovery.
N Shan, W Ziarko, HJ Hamilton, N Cercone
KDD, 263-268, 1995
811995
Choosing the right lens: Finding what is interesting in data mining
L Geng, HJ Hamilton
Quality measures in data mining, 3-24, 2007
762007
Share based measures for itemsets
CL Carter, HJ Hamilton, N Cercone
European Symposium on Principles of Data Mining and Knowledge Discovery, 14-24, 1997
721997
Applying objective interestingness measures in data mining systems
RJ Hilderman, HJ Hamilton
European Conference on Principles of Data Mining and Knowledge Discovery …, 2000
702000
Density-based spatial clustering in the presence of obstacles and facilitators
X Wang, C Rostoker, HJ Hamilton
European Conference on Principles of Data Mining and Knowledge Discovery …, 2004
642004
Heuristic measures of interestingness
RJ Hilderman, HJ Hamilton
European Conference on Principles of Data Mining and Knowledge Discovery …, 1999
631999
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