DocumentCode
2834668
Title
Risk Analysis of the Association Rules in the Incremental Mining Based on the Weighted Model
Author
Mei, Ying ; Zhu, Liangsheng
Author_Institution
South China Univ. of Technol., Guangzhou
fYear
2008
fDate
Aug. 29 2008-Sept. 2 2008
Firstpage
662
Lastpage
664
Abstract
This paper presents the weighted model in the incremental mining algorithm and proposes risk analysis of the strong association rules for trend forecasting. We also analyze the risk degree of the lost rules based on the incremental mining. In practical application, the new method improves the precision of the incremental mining and efficiently uses the mining results for the factual decision-making and trend forecasting.
Keywords
data mining; decision making; risk analysis; association rules; factual decision-making; incremental mining algorithm; risk analysis; trend forecasting; Algorithm design and analysis; Association rules; Computer science; Data mining; Databases; Decision making; Information technology; Predictive models; Protection; Risk analysis; association rule; incremental mining; risk analysis; weighted model;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
Conference_Location
Singapore
Print_ISBN
978-0-7695-3308-7
Type
conf
DOI
10.1109/ICCSIT.2008.73
Filename
4624950
Link To Document