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» Using Dynamic Time Warping to Find Patterns in Time Series
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KDD
1997
ACM
213views Data Mining» more  KDD 1997»
15 years 1 months ago
A Probabilistic Approach to Fast Pattern Matching in Time Series Databases
Theproblemof efficiently and accurately locating patterns of interest in massivetimeseries data sets is an important and non-trivial problemin a wide variety of applications, incl...
Eamonn J. Keogh, Padhraic Smyth
VLDB
2007
ACM
121views Database» more  VLDB 2007»
15 years 9 months ago
Ranked Subsequence Matching in Time-Series Databases
Existing work on similar sequence matching has focused on either whole matching or range subsequence matching. In this paper, we present novel methods for ranked subsequence match...
Wook-Shin Han, Jinsoo Lee, Yang-Sae Moon, Haifeng ...
AICCSA
2008
IEEE
276views Hardware» more  AICCSA 2008»
14 years 11 months ago
Effects of dimensionality reduction techniques on time series similarity measurements
Time Series are ubiquitous, hence, similarity search is one of the biggest challenges in the area of mining time series data. This is due to the vast data size, number of sequence...
Ghazi Al-Naymat, Javid Taheri
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
15 years 4 months ago
Clustering Distributed Time Series in Sensor Networks
Event detection is a critical task in sensor networks, especially for environmental monitoring applications. Traditional solutions to event detection are based on analyzing one-sh...
Jie Yin, Mohamed Medhat Gaber
VLDB
2005
ACM
122views Database» more  VLDB 2005»
15 years 3 months ago
Streaming Pattern Discovery in Multiple Time-Series
In this paper, we introduce SPIRIT (Streaming Pattern dIscoveRy in multIple Timeseries). Given n numerical data streams, all of whose values we observe at each time tick t, SPIRIT...
Spiros Papadimitriou, Jimeng Sun, Christos Falouts...