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KDD
1999
ACM
184views Data Mining» more  KDD 1999»
15 years 6 months ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim
101
Voted
CEC
2010
IEEE
15 years 2 months ago
G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules
— This paper presents the G3PARM algorithm for mining representative association rules. G3PARM is an evolutionary algorithm that uses G3P (Grammar Guided Genetic Programming) and...
Jose María Luna, José Raúl Ro...
BIOCOMP
2006
15 years 3 months ago
Data Mining of ESTs for Genetic Improvement of Salt Tolerance in Wheat
A total of 4,131 expressed sequence tags (ESTs) were selected from wheat EST database (http://wheat.pw.usda.gov/cgi-bin/westsql/est_lib.cgi.) to identify genic regions differing a...
Meral Unal, Ismail Cakmak, Yildiz Aydin, Aysen Yum...
EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
15 years 7 months ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
118
Voted
GECCO
2003
Springer
117views Optimization» more  GECCO 2003»
15 years 7 months ago
A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners
This paper proposes a method for dealing with numerical attributes in inductive concept learning systems based on genetic algorithms. The method uses constraints for restricting th...
Federico Divina, Maarten Keijzer, Elena Marchiori