scholarly journals Mineração de regras de associação diversas em dados meteorológicos temporais de múltiplos pontos geográficos via algoritmo genético / Mining of diverse association rules in temporal meteorological data from multiple geographic points via genetic algorithm

2021 ◽  
Vol 7 (12) ◽  
pp. 112027-112048
Author(s):  
Lucas Ávila Oliveira ◽  
Matheus Matos Machado ◽  
Gustavo Evangelista Araújo ◽  
Tércio Alberto dos Santos Filho ◽  
Sérgio Francisco Da Silva
Keyword(s):  
Genetic Algorithm ◽  
Association Rules ◽  
Meteorological Data

NICGAR: A Niching Genetic Algorithm to mine a diverse set of interesting quantitative association rules

2016 ◽  
Vol 355-356 ◽  
pp. 208-228 ◽  
Author(s):  
D. Martín ◽  
J. Alcalá-Fdez ◽  
A. Rosete ◽  
F. Herrera
Keyword(s):  
Genetic Algorithm ◽  
Association Rules ◽  
Quantitative Association Rules

An Efficient Genetic Simulated Annealing Association Rules Method

2010 ◽  
Vol 34-35 ◽  
pp. 927-931
Author(s):  
Jun Jie Cen ◽  
Guo Hong Gao ◽  
Ying Jun Wang
Keyword(s):  
Genetic Algorithm ◽  
Simulated Annealing ◽  
Data Analysis ◽  
Association Rules ◽  
Association Rule ◽  
Web Site ◽  
Web Mining ◽  
Incremental Mining ◽  
Mining Technology

Association rule is one of the important models of Web mining. By analyzing the topology of web site, this paper brings forward an efficient genetic simulated annealing association rules method．It applies genetic algorithm，incremental mining technology to trace users access behavior and optimizes association rules，and forecast capable association rules which improves its precision．Finally, this paper gives out the data analysis of experiment and summarizes the characteristics of genetic mining．

Sign in / Sign up

Export Citation Format

Share Document