Process Data Mining Based on Rough-set Time Series Analysis

Author

Yang, Guijun

Author_Institution

Hangzhou Inst. Of Commerce, Zhejiang Gongshang Univ., Hangzhou

Volume

2

fYear

2009

fDate

22-24 Jan. 2009

Firstpage

428

Lastpage

432

Abstract

This paper proposed Process Data Mining method based on the Rough set time series analysis based on Rough set theory. In this article the theory of rough set and the basic concepts of data mining are introduced firstly, and then the characteristics and main steps on the process data mining method based on rough set are also introduced. Using the data mining method proposed in this paper, the main drawbacks of the traditional rough set in time series data mining can be eliminated. We also explained the feasibility and the key issues in practice of the process data mining based on rough set theory.

Keywords

chemical industry; data mining; decision making; rough set theory; time series; chemical production process; decision-making process; industrial process data mining; rough-set time series analysis; Artificial intelligence; Data engineering; Data mining; Industrial relations; Knowledge representation; Mining industry; Set theory; Time series analysis; Timing; Uncertainty; data mining; knowledge discovery; rough set; timing analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Technology, 2009. ICCET '09. International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-3334-6

Type

conf

DOI

10.1109/ICCET.2009.26

Filename

4769638