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Knowledge Discovery for A Temporal Prediction Rules
引用本文:TIAN Yuan MENG Zhi-qing. Knowledge Discovery for A Temporal Prediction Rules[J]. 数字社区&智能家居, 2007, 2(10): 1067
作者姓名:TIAN Yuan MENG Zhi-qing
作者单位:1.Computer Department,Hunan Institute of Engineering,Xiangtan 411105,China;2.College of Business and Administration,Zhejiang University of Technology,Hangzhou 310032,China
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.

文章编号:1009-3044(2007)10-21067-01
修稿时间:2007-04-20

Knowledge Discovery for A Temporal Prediction Rules
TIAN Yuan,MENG Zhi-qing. Knowledge Discovery for A Temporal Prediction Rules[J]. Digital Community & Smart Home, 2007, 2(10): 1067
Authors:TIAN Yuan  MENG Zhi-qing
Affiliation:TIAN Yuan1,MENG Zhi-qing2
Abstract: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.
Keywords:Data mining  knowledge discovery  temporal type  time granularity  temporal association rule
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