Paper Info
Title
FP-Growth in Discovery of Customer Patterns.
Abstract
The paper describes a knowledge discovery platform and a novel process for finding association rules based on the algorithm FP-Growth and its variants. Built software solution has been optimized in terms of memory usage and computation time as well as the impact of all modifications made to the whole process of rules discovery The process of rule discovery is illustrated on a real database containing transactions of customers of the e-shop Delicatessen Alma24.
Year
DOI
Venue
2011
10.1007/978-3-642-34044-4_7
Lecture Notes in Business Information Processing
Keywords
Field
DocType
Mining of association rules,analysis of customers' transactions,improvement in FP-Growth performance
Data mining,Software,Association rule learning,Knowledge extraction,Engineering,Computation
Conference
Volume
ISSN
Citations 
116
1865-1348
0
PageRank 
References 
Authors
0.34
3
2
Name
Order
Citations
PageRank
Jerzy Korczak16218.72
Piotr Skrzypczak200.34