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ICDM
2005
IEEE
146views Data Mining» more  ICDM 2005»
14 years 18 days ago
On the Stationarity of Multivariate Time Series for Correlation-Based Data Analysis
Multivariate time series (MTS) data sets are common in various multimedia, medical and financial application domains. These applications perform several data-analysis operations ...
Kiyoung Yang, Cyrus Shahabi
CIB
2005
128views more  CIB 2005»
13 years 6 months ago
The Predicting Power of Textual Information on Financial Markets
Abstract-- Mining textual documents and time series concurrently, such as predicting the movements of stock prices based on the contents of the news stories, is an emerging topic i...
Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu
TKDE
2008
178views more  TKDE 2008»
13 years 6 months ago
Efficient Similarity Search over Future Stream Time Series
With the advance of hardware and communication technologies, stream time series is gaining ever-increasing attention due to its importance in many applications such as financial da...
Xiang Lian, Lei Chen 0002
KES
2006
Springer
13 years 7 months ago
Predicting Cluster Formation in Decentralized Sensor Grids
This paper investigates cluster formation in decentralized sensor grids and focusses on predicting when the cluster formation converges to a stable configuration. The traffic volum...
Astrid Zeman, Mikhail Prokopenko
ISNN
2011
Springer
12 years 10 months ago
Orthogonal Feature Learning for Time Series Clustering
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...
Xiaozhe Wang, Leo Lopes