DocumentCode
306430
Title
On generating synthetic database for classification
Author
Lu, Hongjun ; Sung, Sam Y. ; Lu, Ying
Author_Institution
Dept. of Inf. Syst. & Comput. Sci., Nat. Univ. of Singapore, Singapore
Volume
2
fYear
1996
fDate
14-17 Oct 1996
Firstpage
1280
Abstract
In order to evaluate the performance of the large number of classifiers that have been developed and are being developed, proper generation of data to model the realistic world is an important preprocess. In a real world situation, the data often obeys some common distributions. In this paper, the methods and distribution models adopted to generate the data are explained in detail
Keywords
Poisson distribution; database management systems; database theory; exponential distribution; knowledge acquisition; pattern classification; classification; common distributions; distribution models; realistic world; synthetic database generation; Algorithm design and analysis; Benchmark testing; Classification algorithms; Data mining; Database systems; Distributed databases; Electronic mail; Information systems; Measurement; Mining industry;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location
Beijing
ISSN
1062-922X
Print_ISBN
0-7803-3280-6
Type
conf
DOI
10.1109/ICSMC.1996.571294
Filename
571294
Link To Document