127 search results - page 2 / 26 » Mining Complex Time-Series Data by Learning Markovian Models |
KDD
1998
ACM
13 years 9 months ago
1998
ACM
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
ECML
1997
Springer
13 years 9 months ago
1997
Springer
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
ICDM
2002
IEEE
13 years 9 months ago
2002
IEEE
Segmentation is a popular technique for discovering structure in time series data. We address the largely open problem of estimating the number of segments that can be reliably di...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
ML
2000
ACM
13 years 4 months ago
2000
ACM
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...