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» Generating Rule Sets from Model Trees
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FUZZIEEE
2007
IEEE
14 years 11 months ago
Consistent, Complete and Compact Generation of DNF-type Fuzzy Rules by a Pittsburgh-style Genetic Algorithm
When a flexible fuzzy rule structure such as those with antecedent in conjunctive normal form is used, the interpretability of the obtained fuzzy model is significantly improved. H...
Jorge Casillas, Pedro Martínez
DATAMINE
2010
166views more  DATAMINE 2010»
14 years 10 months ago
Optimal constraint-based decision tree induction from itemset lattices
In this article we show that there is a strong connection between decision tree learning and local pattern mining. This connection allows us to solve the computationally hard probl...
Siegfried Nijssen, Élisa Fromont
AIME
1997
Springer
15 years 2 months ago
Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...
William Rodman Shankle, Subramani Mani, Michael J....
ACIIDS
2009
IEEE
162views Database» more  ACIIDS 2009»
15 years 3 months ago
Deriving Conceptual Schema from XML Databases
In this paper, two concepts from different research areas are addressed together, namely functional dependency (FD) and multidimensional association rule (MAR). FD is a class of i...
Oviliani Yenty Yuliana, Suphamit Chittayasothorn
FPL
2008
Springer
122views Hardware» more  FPL 2008»
14 years 11 months ago
Mining Association Rules with systolic trees
Association Rules Mining (ARM) algorithms are designed to find sets of frequently occurring items in large databases. ARM applications have found their way into a variety of field...
Song Sun, Joseph Zambreno