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» Mining Hesitation Information by Vague Association Rules
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BMCBI
2005
116views more  BMCBI 2005»
13 years 7 months ago
Automating Genomic Data Mining via a Sequence-based Matrix Format and Associative Rule Set
There is an enormous amount of information encoded in each genome
Jonathan D. Wren, David Johnson, Le Gruenwald
SSD
1995
Springer
146views Database» more  SSD 1995»
13 years 11 months ago
Discovery of Spatial Association Rules in Geographic Information Databases
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
Krzysztof Koperski, Jiawei Han
IDA
2006
Springer
13 years 7 months ago
Towards symbolic mining of images with association rules: Preliminary results on textures
This paper presents new textural features which are based on association rules. We give a texture representation, which is an appropriate formalism, that allows straightforward app...
Matjaz Bevk, Igor Kononenko
ICONIP
2009
13 years 5 months ago
Fuzzy Decision Tree Induction Approach for Mining Fuzzy Association Rules
Decision Tree Induction (DTI), one of the Data Mining classification methods, is used in this research for predictive problem solving in analyzing patient medical track records. In...
Rolly Intan, Oviliani Yenty Yuliana
ADMA
2008
Springer
152views Data Mining» more  ADMA 2008»
14 years 1 months ago
MPSQAR: Mining Quantitative Association Rules Preserving Semantics
To avoid the loss of semantic information due to the partition of quantitative values, this paper proposes a novel algorithm, called MPSQAR, to handle the quantitative association ...
Chunqiu Zeng, Jie Zuo, Chuan Li, Kaikuo Xu, Shengq...