A study of backward and remote forward association.

1938 ◽  
Vol 22 (4) ◽  
pp. 319-337 ◽  
Author(s):  
M. H. Trowbridge
Keyword(s):  
Forward Association

Forward Association Strength and False Memory

2011 ◽  
Author(s):  
Jason Arndt ◽  
Andy Hyatt ◽  
Divya Dethier ◽  
Emily Whitaker ◽  
Nina Hommel ◽  
...  
Keyword(s):  
False Memory ◽  
Association Strength ◽  
Forward Association

Web Page Recommendation Using Genetic and Feed Forward Association Rule on Web-Log Features

2020 ◽  
Vol 17 (9) ◽  
pp. 4462-4467
Author(s):  
B. Pavithra ◽  
M. Niranjanamurthy
Keyword(s):  
Association Rule ◽  
Web Mining ◽  
Recommendation System ◽  
User Behavior ◽  
Web Page ◽  
User Behavior Analysis ◽  
Feed Forward ◽  
Web Log ◽  
Fitness Value ◽  
Forward Association

As websites are increasing day by day, so user behavior analysis for improving the website performance attracts many researcher. This paper introduces the web page recommendation model using web log feature of web mining. Here work has introduce Feed forward counter model (FFC) for identifying the association rule with single data iteration technique. Hence execution time for this gets reduced. Work has introduced the Particle swarm optimization algorithm for the selection of appropriate page from given user path as recommendation page. This work involves support of the association rule as fitness value. Experiment was done on real dataset obtained from project tunnel website. Results shows that by the use of Feed forward association rule with PSO for next page recommendation system has improve various evaluation parameters like precision, coverage, m-metric.

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