DocumentCode
2122451
Title
A mining algorithm based on time series association rules
Author
Liping Liu ; Ninghai Cui
Author_Institution
Coll. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
fYear
2012
fDate
21-23 April 2012
Firstpage
786
Lastpage
789
Abstract
Based on the concept lattice theory, this paper studies the cycle of association rule mining about the periodic fluctuations of time-series. First of all, do anti-season pretreatment to time-series, then give the algorithm of the generation of the cycle of association rules, and the pruning to the generated concept within algorithm improve the efficiency of the mining speed. And then we can use the given higher precision model to do anti-season changes calculation to those time series which dissatisfy anti-season pretreatment using the moving average method.
Keywords
data mining; time series; antiseason changes calculation; antiseason pretreatment; association rule mining cycle generation; concept lattice theory; mining algorithm; moving average method; periodic fluctuation time series; precision model; time series association rules; Association rules; Data models; Fluctuations; Lattices; Predictive models; Time series analysis; association rules; data mining; formal concept analysis; time-series;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location
Yichang
Print_ISBN
978-1-4577-1414-6
Type
conf
DOI
10.1109/CECNet.2012.6201827
Filename
6201827
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