ICSE
2010
IEEE-ACM
13 years 9 months ago
2010
IEEE-ACM
Change impact analysis aims at identifying software artifacts being affected by a change. In the past, this problem has been addressed by approaches relying on static, dynamic, a...
IDA
2003
Springer
13 years 10 months ago
2003
Springer
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...
CAV
2003
Springer
13 years 10 months ago
2003
Springer
Run-time monitoring of temporal properties and assertions is used for testing and as a component of execution-based model checking techniques. Traditional run-time monitoring howev...
DMKD
2003
ACM
13 years 10 months ago
2003
ACM
The parallel explosions of interest in streaming data, and data mining of time series have had surprisingly little intersection. This is in spite of the fact that time series data...
ICDM
2003
IEEE
2003
IEEE
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
13 years 10 months ago
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
PKDD
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. In this paper, we introduce a new approach for mining regulatory interactions between genes in microarray time series studies. A number of preprocessing steps transform t...
KDD
2004
ACM
13 years 10 months ago
2004
ACM
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
IDEAL
2004
Springer
13 years 10 months ago
2004
Springer
Most financial time series processes are nonstationary and their frequency characteristics are time-dependant. In this paper we present a time series summarization and prediction ...
GFKL
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. An overview of the Time Series Knowledge Mining framework to discover knowledge in multivariate time series is given. A hierarchy of temporal patterns, which are not a pr...
PKDD
2005
Springer
13 years 10 months ago
2005
Springer
We consider a problem of elastic matching of time series. We propose an algorithm that automatically determines a subsequence b of a target time series b that best matches a query ...