879 search results - page 163 / 176 » Forecasting high-dimensional data |
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn ...
EDBT
2004
ACM
15 years 9 months ago
2004
ACM
The mining of periodic patterns in time series databases is an interesting data mining problem that can be envisioned as a tool for forecasting and predicting the future behavior o...
DSN
2008
IEEE
15 years 4 months ago
2008
IEEE
Many emerging distributed applications require the realtime processing of large amounts of data that are being updated continuously. Distributed stream processing systems offer a ...
IJCNN
2007
IEEE
15 years 3 months ago
2007
IEEE
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
VLDB
2005
ACM
15 years 3 months ago
2005
ACM
In this paper, we introduce SPIRIT (Streaming Pattern dIscoveRy in multIple Timeseries). Given n numerical data streams, all of whose values we observe at each time tick t, SPIRIT...