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A new approach of neural networks to time-varying database classification

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3 Author(s)
Xiao-Ye Wang ; Dept. of Comput. Sci. & Technol., Tianjin Univ., China ; Xiu-Xia Liang ; Ji-Zhou Sun

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.

Published in:

2005 International Conference on Machine Learning and Cybernetics  (Volume:4 )

Date of Conference:

18-21 Aug. 2005