DocumentCode
2815289
Title
Discover relaxed periodicity in temporal databases
Author
Changjie, Tang ; Zhonghua, Yu ; Tianqing, Zhang
Author_Institution
Dept. of Comput., Sichuan Univ., Chengdu, China
fYear
1999
fDate
1999
Firstpage
203
Lastpage
209
Abstract
The relaxed-periodicity pattern describes loose-cyclic behavior of objects while allowing uneven stretch or shrink on the time axis, limited noise, and inflation/deflation of attribute values. To discover relaxed-periodicity from temporal databases, we propose the concepts of attribute trend, trend inertia, peak-valley pattern, inertia algorithm with anti-noise ability as well as the peak-valley algorithm and show that the implementation prototype is efficient
Keywords
database theory; temporal databases; anti-noise ability; attribute trend; attribute value deflation; attribute value inflation; inertia algorithm; limited noise; loose-cyclic object behavior; peak-valley pattern; relaxed periodicity discovery; relaxed-periodicity pattern; temporal databases; time axis; trend inertia; uneven shrink; uneven stretch; Association rules; Cities and towns; Data mining; Data models; Databases; Electrical capacitance tomography; Postal services; Prototypes; Read only memory; Search methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Database Systems for Advanced Applications, 1999. Proceedings., 6th International Conference on
Conference_Location
Hsinchu
Print_ISBN
0-7695-0084-6
Type
conf
DOI
10.1109/DASFAA.1999.765753
Filename
765753
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