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» Genetic algorithms for large join query optimization
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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 11 months ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
14 years 28 days ago
Are Multiple Runs of Genetic Algorithms Better than One?
Abstract. There are conflicting reports over whether multiple independent runs of genetic algorithms (GAs) with small populations can reach solutions of higher quality or can fin...
Erick Cantú-Paz, David E. Goldberg
HIS
2008
13 years 9 months ago
Using Genetic Algorithm for Hybrid Modes of Collaborative Filtering in Online Recommenders
Online recommenders are usually referred to those used in e-Commerce websites for suggesting a product or service out of many choices. The core technology implemented behind this ...
Simon Fong, Yvonne Ho, Yang Hang
SIGMOD
2010
ACM
209views Database» more  SIGMOD 2010»
14 years 16 days ago
ProgXe: progressive result generation framework for multi-criteria decision support queries
We demonstrate ProgXe, a practical approach to support MultiCriteria Decision Support (MCDS) applications that need to report results as they are being generated to enable the use...
Venkatesh Raghavan, Elke A. Rundensteiner
ICDE
2010
IEEE
295views Database» more  ICDE 2010»
14 years 2 months ago
K nearest neighbor queries and kNN-Joins in large relational databases (almost) for free
— Finding the k nearest neighbors (kNN) of a query point, or a set of query points (kNN-Join) are fundamental problems in many application domains. Many previous efforts to solve...
Bin Yao, Feifei Li, Piyush Kumar