CORR
2010
Springer
13 years 11 months ago
2010
Springer
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
PVLDB
2008
13 years 12 months ago
2008
The last decade has witnessed a tremendous growths of interests in applications that deal with querying and mining of time series data. Numerous representation methods for dimensi...
PAMI
2007
13 years 12 months ago
2007
We describe a semi-supervised regression algorithm that learns to transform one time series into another time series given examples of the transformation. This algorithm is applie...
VLDB
2002
ACM
14 years 1 days ago
2002
ACM
The problem of indexing time series has attracted much interest. Most algorithms used to index time series utilize the Euclidean distance or some variation thereof. However, it has...
SAC
2002
ACM
14 years 2 days ago
2002
ACM
This article shows how a non-decimated wavelet packet transform (NWPT) can be used to model a response time series,
INFORMATICALT
1998
14 years 2 days ago
1998
Principles of the framework called time series forecasting automation are presented. It is required in processing massive temporal data sets and creating completely user-oriented f...
GIS
2002
ACM
14 years 6 days ago
2002
ACM
Dealing with moving objects necessitates having available complete geographical traces for determining exact or possible locations that objects have had, have or will have. This i...
FSS
2002
14 years 6 days ago
2002
This paper proposes a fuzzy seasonal ARIMA (FSARIMA) forecasting model, which combines the advantages of the seasonal time series ARIMA (SARIMA) model and the fuzzy regression mod...
ML
2000
ACM
14 years 6 days ago
2000
ACM
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
INFORMATICALT
2000
14 years 6 days ago
2000
Abstract. The paper presents new method for sequential classification of the time series observations. Methods and algorithms of sequential recognition are obtained on the basis of...