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» Using the CALANDA Time Series Management System
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IDEAL
2004
Springer
14 years 1 months ago
Combining Local and Global Models to Capture Fast and Slow Dynamics in Time Series Data
Many time series exhibit dynamics over vastly different time scales. The standard way to capture this behavior is to assume that the slow dynamics are a “trend”, to de-trend t...
Michael Small
EATIS
2007
ACM
14 years 12 days ago
A method using time series analysis for IEEE 802.11 WLANs channel forecasting
Abstract-- The growth of wireless network use has greatly increased research demand. Some applications, which are contextaware, must adapt to the environment. So, information on bo...
Jeandro Bezerra, Rudy Braquehais, Filipe Roberto, ...
SIGMOD
2008
ACM
236views Database» more  SIGMOD 2008»
14 years 8 months ago
Approximate embedding-based subsequence matching of time series
A method for approximate subsequence matching is introduced, that significantly improves the efficiency of subsequence matching in large time series data sets under the dynamic ti...
Vassilis Athitsos, Panagiotis Papapetrou, Michalis...
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 9 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
ICDE
2003
IEEE
211views Database» more  ICDE 2003»
14 years 10 months ago
Capturing Sensor-Generated Time Series with Quality Guarantees
We are interested in capturing time series generated by small wireless electronic sensors. Battery-operated sensors must avoid heavy use of their wireless radio which is a key cau...
Iosif Lazaridis, Sharad Mehrotra