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
fDate :
Aug. 29 2008-Sept. 2 2008
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;
Conference_Titel :
Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3308-7
DOI :
10.1109/ICCSIT.2008.73
