DocumentCode
441827
Title
A new approach of neural networks to time-varying database classification
Author
Wang, Xiao-ye ; Liang, Xiu-xia ; Sun, Ji-Zhou
Author_Institution
Dept. of Comput. Sci. & Technol., Tianjin Univ., China
Volume
4
fYear
2005
fDate
18-21 Aug. 2005
Firstpage
2050
Abstract
The time-varying databases, whose data distribution are changed with time. This database is frequently observed in many application areas including manufacturing, financing, and marketing. Knowledge discovery in time-varying databases is an important subject of data mining technology. This paper presents a moving-window neural network classification algorithm that can effectively classify the time-varying databases. We derive the algorithm. The experiment demonstrates the effective of the presented algorithm.
Keywords
data mining; neural nets; temporal databases; data mining technology; knowledge discovery; neural network; time-varying database classification; Data mining; Feedforward neural networks; Least squares methods; Machine learning; Manufacturing processes; Neural networks; Semiconductor device manufacture; Spatial databases; Sun; Training data; Neural Network; Time-varying database; classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location
Guangzhou, China
Print_ISBN
0-7803-9091-1
Type
conf
DOI
10.1109/ICMLC.2005.1527282
Filename
1527282
Link To Document