Referenced Items are not available for this document.
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:
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
(Volume:4
)
Date of Conference: 18-21 Aug. 2005
- Page(s):
- 2050 - 2054 Vol. 4
- Print ISBN:
- 0-7803-9091-1
- INSPEC Accession Number:
- 8761621
- Conference Location :
- Guangzhou, China
- Digital Object Identifier :
- 10.1109/ICMLC.2005.1527282
- Product Type:
- Conference Publications
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