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A Context-Aware Usage Prediction Approach for Smartphone Applications Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Mining Multiple Periods in Event Time Sequence

Authors : Bing Xu, Zhijun Ding, Hongzhong Chen

Published in: Advances in Services Computing

Publisher: Springer International Publishing

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Abstract

The research of life pattern is a hot topic in the field of LBSN (Location Based Social Network). Periodic behavior is also a life pattern. In view of multiple periodic behaviors existed in time series, an algorithm which can mine all periods in time series is proposed in this paper. In view of periodic behaviors always occurred at the same time interval and the random access of matrix’s characteristic, the algorithm creates a suspected periodic matrix which can store all suspected periods. By judging the validity of a suspected period in the matrix, the true periods can be mined accurately. Updating the suspected periodic matrix dynamically can reduce executing time.

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Metadata
Title
Mining Multiple Periods in Event Time Sequence
Authors
Bing Xu
Zhijun Ding
Hongzhong Chen
Copyright Year
2015
Book
Advances in Services Computing

Print ISBN: 978-3-319-26978-8

Electronic ISBN: 978-3-319-26979-5

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-26979-5_21

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