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CONCUR
1999
Springer
15 years 11 months ago
Partial Order Reduction for Model Checking of Timed Automata
Abstract. The paper presents a partial order reduction method applicable to networks of timed automata. The advantage of the method is that it reduces both the number of explored c...
Marius Minea
175
Voted
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 7 months ago
Time series shapelets: a new primitive for data mining
Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simple nearest neighbor algorithm ...
Lexiang Ye, Eamonn J. Keogh
IV
2009
IEEE
131views Visualization» more  IV 2009»
16 years 1 months ago
A Visualization and Level-of-Detail Control Technique for Large Scale Time Series Data
We have various interesting time series data in our daily life, such as weather data (e.g., temperature and air pressure) and stock prices. Polyline chart is one of the most commo...
Yumiko Uchida, Takayuki Itoh
181
Voted
ICDM
2005
IEEE
271views Data Mining» more  ICDM 2005»
16 years 6 days ago
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of a longer time series that are maximally different to all the r...
Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu
IDA
2003
Springer
15 years 11 months ago
Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points
This paper proposes a new clustering algorithm in the fuzzy-c-means family, which is designed to cluster time series and is particularly suited for short time series and those wit...
Carla S. Möller-Levet, Frank Klawonn, Kwang-H...