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Author Assfalg, J. ♦ Kriegel, H.-P. ♦ Kroger, P. ♦ Kunath, P. ♦ Pryakhin, A. ♦ Renz, M.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2006
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Databases ♦ Sequences ♦ Drugs ♦ Blood ♦ Computer science ♦ Data structures ♦ Pharmaceuticals ♦ Air pollution ♦ Law ♦ Legal factors
Abstract Similarity search in time series data is an active area of research. In this paper, we introduce the novel concept of threshold-similarity queries in time series databases which report those time series exceeding a user-defined query threshold at similar time frames compared to the query time series. In addition, we present a new data structure to support threshold similarity queries efficiently. The performance of our solution is demonstrated by an extensive experimental evaluation.
Description Author affiliation: University of Munich (Assfalg, J.)
ISBN 0769525709
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2006-04-03
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 223.94 kB
Page Count 1
Starting Page 149
Ending Page 149


Source: IEEE Xplore Digital Library