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                                       Details for article 2 of 16 found articles
 
 
  Aggregation and maintenance for database mining
 
 
Title: Aggregation and maintenance for database mining
Author: Zhang, Shichao
Appeared in: Intelligent data analysis
Paging: Volume 3 (2013) nr. 6 pages 475-490
Year: 2013-06-14
Contents: Database mining must capture the dynamics of data in the real-world. In other words, mining models would be able to maintain all changed rules when a database is updated. This paper presents a new model of aggregating association rules aimed at not only maintaining association rules in dynamical databases, but also aggregating association rules from different data sources. Indeed, this aggregation of association rules is useful for making decisions. Our experiments show that this model is efficient to aggregate rules from both of dynamical databases and different data sources.
Publisher: IOS Press
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 2 of 16 found articles
 
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