30 search results - page 2 / 6 » On the need for time series data mining benchmarks: a survey... |
KDD
2000
ACM
13 years 8 months ago
2000
ACM
There has been much recent interest in adapting data mining algorithms to time series databases. Most of these algorithms need to compare time series. Typically some variation of ...
EDBT
2004
ACM
14 years 5 months ago
2004
ACM
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
DASFAA
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract. Recently, we have proposed a novel method for the compression of time series based on mathematical models that explore dependencies between different time series. This r...
SDM
2010
SIAM
13 years 3 months ago
2010
SIAM
Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed t...
ISNN
2011
Springer
12 years 8 months ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...