Title :
A novel dynamic incremental rules extraction algorithm based on rough set theory
Author :
Guo, Sen ; Wang, Zhi-Yan ; Wu, Zhi-cheng ; Yan, He-Ping
Author_Institution :
Sch. of Comput. Sci. & Eng., South China Univ. of Technol., GuangDong, China
Abstract :
The incremental rules extraction is a focus problem of KDD. In this paper, a novel incremental rules extraction algorithm which is called "RDBRST" (rule derivation based on rough set and search tree) is proposed. It is one kind of width first heuristic search algorithms. The incremental rules are extracted and the existing rule set is updated based on this algorithm. We present an example to illustrate characteristics of this new incremental algorithm.
Keywords :
data mining; rough set theory; tree searching; dynamic incremental rule extraction; heuristic search algorithm; knowledge discovery in databases; rough set theory; rule derivation; search tree; AC generators; Abstracts; Computer science; Data analysis; Data mining; Databases; Heuristic algorithms; Humans; Pattern recognition; Set theory; Rough set; rule derivation; search tree; width first heuristic search algorithm;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527256
