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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 8 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
TCS
2008
13 years 7 months ago
On temporal logic constraint solving for analyzing numerical data time series
Temporal logics and model-checking have proved successful to respectively express biological properties of complex biochemical systems, and automatically verify their satisfaction...
François Fages, Aurélien Rizk
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
13 years 9 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh
APCCAS
2006
IEEE
249views Hardware» more  APCCAS 2006»
14 years 1 months ago
Uncertainty Management for Estimation in Dynamical Systems
— A novel black-box model for time series of prices analysis is proposed. It is constructed using the technique of “shaping filter”. The model identification is then propos...
H. Baili
TMA
2012
Springer
278views Management» more  TMA 2012»
12 years 3 months ago
tsdb: A Compressed Database for Time Series
Large-scale network monitoring systems require efficient storage and consolidation of measurement data. Relational databases and popular tools such as the Round-Robin Database sho...
Luca Deri, Simone Mainardi, Francesco Fusco