Title
An Estimation Of Distribution Algorithms Applied To Sequence Pattern Mining
Abstract
This paper presents a proposal of distribution's estimated algorithm to the extraction of sequential patterns in a database which use a probabilistic model based on graphs which represent the relations among items that form a sequence. The model maps a probability among the items allowing them to adjust the model during the execution of the algorithm using the evolution process of EDA, optimizing the candidate's generation of solution and extracting a group of sequential patterns optimized.
Year
DOI
Venue
2009
10.1007/978-90-481-9112-3_102
INNOVATIONS IN COMPUTING SCIENCES AND SOFTWARE ENGINEERING
Keywords
Field
DocType
estimation of distribution algorithm,probabilistic model
Data mining,Graph,Estimation of distribution algorithm,Pattern recognition,Computer science,Probabilistic analysis of algorithms,FSA-Red Algorithm,Artificial intelligence,Statistical model,Sequence pattern
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
4