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» Adapting the Fitness Function in GP for Data Mining
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KDD
2003
ACM
214views Data Mining» more  KDD 2003»
14 years 8 months ago
Adaptive duplicate detection using learnable string similarity measures
The problem of identifying approximately duplicate records in databases is an essential step for data cleaning and data integration processes. Most existing approaches have relied...
Mikhail Bilenko, Raymond J. Mooney
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
14 years 7 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
IJON
2006
146views more  IJON 2006»
13 years 7 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
GECCO
2007
Springer
481views Optimization» more  GECCO 2007»
14 years 1 months ago
A hybrid PSO/ACO algorithm for classification
In a previous work we have proposed a hybrid Particle Swarm Optimisation/Ant Colony Optimisation (PSO/ACO) algorithm for the discovery of classification rules, in the context of d...
Nicholas Holden, Alex Alves Freitas
EFDBS
2001
13 years 9 months ago
Extensible Grouping and Aggregation for Data Reconciliation
New applications from the areas of analytical data processing and data integration require powerful features to condense and reconcile available data. Object-relational and other d...
Eike Schallehn, Kai-Uwe Sattler, Gunter Saake