EDBT
2010
ACM
13 years 11 months ago
2010
ACM
More and more data mining algorithms are applied to a large number of long time series issued by many distributed sensors. The consequence of the huge volume of data is that data ...
PETRA
2009
ACM
13 years 11 months ago
2009
ACM
Event search is the problem of identifying events or activity of interest in a large database storing long sequences of activity. In this paper, our topic is the problem of identi...
PKDD
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
IWANN
2009
Springer
13 years 11 months ago
2009
Springer
This paper presents an algorithm, different from the classical time series, specialised in extracting knowledge from time series. The algorithm,
IEAAIE
2009
Springer
13 years 11 months ago
2009
Springer
Change Point Discovery is a basic algorithm needed in many time series mining applications including rule discovery, motif discovery, casual analysis, etc. Several techniques for c...
IDA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. This work aims to improve an existing time series forecasting algorithm –LBF– by the application of frequent episodes techniques as a complementary step to the model....
ICANN
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...
GCB
2009
Springer
13 years 11 months ago
2009
Springer
: A wealth of time series of microarray measurements have become available over recent years. Several two-sample tests for detecting differential gene expression in these time seri...
DEXA
2009
Springer
13 years 11 months ago
2009
Springer
The alignment of noisy and uniformly scaled time series is an important but difficult task. Given two time series, one of which is a uniformly stretched subsequence of the other, w...
COMPLEX
2009
Springer
13 years 11 months ago
2009
Springer
We introduce transformations from time series data to the domain of complex networks which allow us to characterise the dynamics underlying the time series in terms of topological ...