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Howard J Hamilton
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Cited by
Year
Interestingness measures for data mining: A survey
L Geng, HJ Hamilton
ACM Computing Surveys (CSUR) 38 (3), 9-es, 2006
15402006
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
6092004
Mining itemset utilities from transaction databases
H Yao, HJ Hamilton
Data & Knowledge Engineering 59 (3), 603-626, 2006
4272006
Knowledge discovery and measures of interest
RJ Hilderman, HJ Hamilton
Springer Science & Business Media, 2013
2712013
Quality measures in data mining
F Guillet, HJ Hamilton
Springer, 2007
2332007
Knowledge discovery and interestingness measures: A survey
RJ Hilderman, HJ Hamilton
Department of Computer Science, University of Regina, 1999
2201999
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
1862006
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
1592003
Mining functional dependencies from data
H Yao, HJ Hamilton
Data Mining and Knowledge Discovery 16 (2), 197-219, 2008
1452008
Evaluation of interestingness measures for ranking discovered knowledge
RJ Hilderman, HJ Hamilton
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 247-259, 2001
1342001
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
1301998
RIAC: a rule induction algorithm based on approximate classification
HJ Hamilton, N Cercone, N Shan
Computer Science Department, University of Regina, 1996
1271996
Extracting share frequent itemsets with infrequent subsets
B Barber, HJ Hamilton
Data Mining and Knowledge Discovery 7 (2), 153-185, 2003
1212003
FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences.
H Yao, HJ Hamilton, CJ Butz
ICDM, 729-732, 2002
922002
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
782007
Share based measures for itemsets
CL Carter, HJ Hamilton, N Cercone
European Symposium on Principles of Data Mining and Knowledge Discovery, 14-24, 1997
751997
Applying objective interestingness measures in data mining systems
RJ Hilderman, HJ Hamilton
European Conference on Principles of Data Mining and Knowledge Discovery …, 2000
742000
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
652004
Data mining in large databases using domain generalization graphs
RJ Hilderman, HJ Hamilton, N Cercone
Journal of Intelligent Information Systems 13 (3), 195-234, 1999
651999
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