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» Fast algorithms for time series mining
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WSDM
2012
ACM
325views Data Mining» more  WSDM 2012»
13 years 8 months ago
Correlating financial time series with micro-blogging activity
We study the problem of correlating micro-blogging activity with stock-market events, defined as changes in the price and traded volume of stocks. Specifically, we collect messa...
Eduardo J. Ruiz, Vagelis Hristidis, Carlos Castill...
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
15 years 4 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
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...
R. Bharat Rao, Scott Rickard, Frans Coetzee
CORR
2011
Springer
193views Education» more  CORR 2011»
14 years 4 months ago
The Synchrosqueezing algorithm: a robust analysis tool for signals with time-varying spectrum
We analyze the Synchrosqueezing transform, a consistent and invertible time-frequency analysis tool that can identify and extract oscillating components (of time-varying frequency...
Eugene Brevdo, Neven S. Fuckar, Gaurav Thakur, Hau...
PKDD
2005
Springer
188views Data Mining» more  PKDD 2005»
15 years 6 months ago
Elastic Partial Matching of Time Series
We consider a problem of elastic matching of time series. We propose an algorithm that automatically determines a subsequence b of a target time series b that best matches a query ...
Longin Jan Latecki, Vasilis Megalooikonomou, Qiang...
140
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IJAR
2011
118views more  IJAR 2011»
14 years 3 months ago
A sequential pattern mining algorithm using rough set theory
Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns in time se...
Ken Kaneiwa, Yasuo Kudo