Howard J Hamilton
TitleCited byYear
Interestingness measures for data mining: A survey
L Geng, HJ Hamilton
ACM Computing Surveys (CSUR) 38 (3), 9, 2006
11752006
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
4152004
Mining itemset utilities from transaction databases
H Yao, HJ Hamilton
Data & Knowledge Engineering 59 (3), 603-626, 2006
3082006
Knowledge discovery and measures of interest
RJ Hilderman, HJ Hamilton
Springer Science & Business Media, 2013
2412013
Knowledge discovery and interestingness measures: A survey
RJ Hilderman, HJ Hamilton
Department of Computer Science, University of Regina, 1999
2011999
Quality measures in data mining
F Guillet, HJ Hamilton
Springer, 2007
1582007
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
1452006
Efficient attribute-oriented generalization for knowledge discovery from large databases
CL Carter, HJ Hamilton
IEEE Transactions on Knowledge & Data Engineering, 193-208, 1998
1241998
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
1212003
Evaluation of interestingness measures for ranking discovered knowledge
RJ Hilderman, HJ Hamilton
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 247-259, 2001
1202001
Extracting share frequent itemsets with infrequent subsets
B Barber, HJ Hamilton
Data Mining and Knowledge Discovery 7 (2), 153-185, 2003
1032003
Mining functional dependencies from data
H Yao, HJ Hamilton
Data Mining and Knowledge Discovery 16 (2), 197-219, 2008
1022008
RIAC: a rule induction algorithm based on approximate classification
HJ Hamilton, N Cercone, N Shan
Computer Science Department, University of Regina, 1996
1001996
Using Rough Sets as Tools for Knowledge Discovery.
N Shan, W Ziarko, HJ Hamilton, N Cercone
KDD, 263-268, 1995
781995
Share based measures for itemsets
CL Carter, HJ Hamilton, N Cercone
European Symposium on Principles of Data Mining and Knowledge Discovery, 14-24, 1997
731997
Choosing the right lens: Finding what is interesting in data mining
L Geng, HJ Hamilton
Quality measures in data mining, 3-24, 2007
652007
FD/spl I. bar/Mine: discovering functional dependencies in a database using equivalences
H Yao, HJ Hamilton, CJ Butz
Data Mining, 2002. ICDM 2003. Proceedings. 2002 IEEE International …, 2002
612002
Heuristic measures of interestingness
RJ Hilderman, HJ Hamilton
European Conference on Principles of Data Mining and Knowledge Discovery …, 1999
611999
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
602004
Applying objective interestingness measures in data mining systems
RJ Hilderman, HJ Hamilton
European Conference on Principles of Data Mining and Knowledge Discovery …, 2000
602000
The system can't perform the operation now. Try again later.
Articles 1–20