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» Application of Fuzzy Rule Induction to Data Mining
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CORR
2010
Springer
129views Education» more  CORR 2010»
13 years 7 months ago
Attribute oriented induction with star schema
: This paper will propose a novel star schema attribute induction as a new attribute induction paradigm and as improving from current attribute oriented induction. A novel star sch...
Spits Warnars H. L. H
CLIMA
2004
13 years 9 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Christopher Child, Kostas Stathis
ICDM
2003
IEEE
102views Data Mining» more  ICDM 2003»
14 years 25 days ago
Bootstrapping Rule Induction
Most rule learning systems posit hard decision boundaries for continuous attributes and point estimates of rule accuracy, with no measures of variance, which may seem arbitrary to ...
Lemuel R. Waitman, Douglas H. Fisher, Paul H. King
SDM
2007
SIAM
147views Data Mining» more  SDM 2007»
13 years 9 months ago
Constraint-Based Pattern Set Mining
Local pattern mining algorithms generate sets of patterns, which are typically not directly useful and have to be further processed before actual application or interpretation. Ra...
Luc De Raedt, Albrecht Zimmermann
RSCTC
1993
Springer
161views Fuzzy Logic» more  RSCTC 1993»
13 years 11 months ago
Quantifying Uncertainty of Knowledge Discovered From Databases
This paper focuses on the application of rough set constructs to inductive learning from a database. A design guideline is suggested, which provides users the option to choose app...
Yang Xiang, S. K. Michael Wong, Nick Cercone