Knowledge Discovery for A Temporal Prediction Rules

被引:0
作者
TIAN Yuan1
2.College of Business and Administration
机构
关键词
Data mining; knowledge discovery; temporal type; time granularity; temporal association rule;
D O I
暂无
中图分类号
TP182 [专家系统、知识工程];
学科分类号
1111 ;
摘要
We are obtaining a large database of some objects’ records of fluctuations of a stock market,medical treatments,changes of weather in certain area and so on,where each record consists of multi-attributes taking multi-values changing with time. Our work is motivated by prediction,which is different from the work in 4,5,8,11. We want to help learn from past data and make informed decisions for the future. This paper is very significant to perfect the theory and the development of the temporal data mining.
引用
收藏
页码:1067 / 1067 +1144
页数:2
相关论文
共 3 条
[1]  
Jef wijsen,Temporal FDS on complex objects,Proc. ACM . 1998
[2]  
Juan M.Ale:An Approach to Discovering Temporal Asso-ciation Rules,Proc. ACM . 2000
[3]  
Bettini,Claudio,Wang,Sean X,Jajodia,Sushil,Lin,Jia-Ling.Discovering frequent event patterns with multiple Granuarities,ACM Trans. Databas System . 1997