Title :
Research and Application of Association Rules Methods in Data Mining for Commercial Sales Analysis
Author :
Bing, Han ; Ye-bai, Li
Author_Institution :
Dept. of Comput., North China Univ. of Technol., Beijing
Abstract :
This paper introduces the application of association rules methods in data mining and the FP-tree algorithm for mining association rules in commercial sales analysis. It begins with the discussion of the concepts of association rules, followed by the analysis of mining for association rules and the FP-tree algorithm, and ended with their applications in commercial sales analysis as well as the demonstration case study.
Keywords :
data mining; electronic commerce; trees (mathematics); FP-tree algorithm; association rules methods; commercial sales analysis; data mining; Algorithm design and analysis; Application software; Association rules; Computer networks; Dairy products; Data mining; Information analysis; Marketing and sales; Paper technology; Pattern analysis; association rules; confidence; data mining; support;
Conference_Titel :
Networking and Digital Society, 2009. ICNDS '09. International Conference on
Conference_Location :
Guiyang, Guizhou
Print_ISBN :
978-0-7695-3635-4
DOI :
10.1109/ICNDS.2009.51
