DocumentCode
470049
Title
A single pass algorithm of finding frequent vibrated items over online data streams
Author
Lee, Guanling ; Chen, Qiao-Tzu
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Dong Hwa Univ., Hualien
Volume
1
fYear
2007
fDate
28-31 Oct. 2007
Firstpage
206
Lastpage
211
Abstract
Data streams are data items generated unbounded and continuously. To detect the vibration of data item s quantity, a single pass algorithm is proposed for mining vibrated items over online data streams in this paper. The change of data item can be reported at once by measuring its vibrated slope. Not only the change of data item will be detected, the period in which the data item is frequent vibrated is also reported. Moreover, a set of simulations is performed to show the benefit of our approach.
Keywords
data mining; data mining; frequent vibrated items; online data streams; single pass algorithm; vibrated items mining; Change detection algorithms; Computer science; Counting circuits; Data engineering; Data mining; Frequency conversion; Frequency estimation; Marketing and sales; Monitoring; Vibration measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Information Management, 2007. ICDIM '07. 2nd International Conference on
Conference_Location
Lyon
Print_ISBN
978-1-4244-1475-8
Electronic_ISBN
978-1-4244-1476-5
Type
conf
DOI
10.1109/ICDIM.2007.4444224
Filename
4444224
Link To Document