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» A new rule extraction algorithm based on interval arithmetic
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FUZZIEEE
2007
IEEE
14 years 5 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
AAI
2007
132views more  AAI 2007»
13 years 11 months ago
Incremental Extraction of Association Rules in Applicative Domains
In recent years, the KDD process has been advocated to be an iterative and interactive process. It is seldom the case that a user is able to answer immediately with a single query...
Arianna Gallo, Roberto Esposito, Rosa Meo, Marco B...
AMC
2008
87views more  AMC 2008»
13 years 11 months ago
Mining classification rules with Reduced MEPAR-miner Algorithm
In this study, a new classification technique based on rough set theory and MEPAR-miner algorithm for association rule mining is introduced. Proposed method is called as `Reduced ...
Emel Kizilkaya Aydogan, Cevriye Gencer
ICCAD
2003
IEEE
154views Hardware» more  ICCAD 2003»
14 years 7 months ago
Fast, Accurate Static Analysis for Fixed-Point Finite-Precision Effects in DSP Designs
Translating digital signal processing (DSP) software into its finite-precision hardware implementation is often a timeconsuming task. We describe a new static analysis technique ...
Claire Fang Fang, Rob A. Rutenbar, Tsuhan Chen
CIBB
2008
14 years 26 days ago
Mining Association Rule Bases from Integrated Genomic Data and Annotations
During the last decade, several clustering and association rule mining techniques have been applied to highlight groups of coregulated genes in gene expression data. Nowadays, inte...
Ricardo Martínez, Nicolas Pasquier, Claude ...