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KDD
2003
ACM
146views Data Mining» more  KDD 2003»
16 years 4 months ago
Probabilistic discovery of time series motifs
Several important time series data mining problems reduce to the core task of finding approximately repeated subsequences in a longer time series. In an earlier work, we formalize...
Bill Yuan-chi Chiu, Eamonn J. Keogh, Stefano Lonar...
ICDE
2005
IEEE
185views Database» more  ICDE 2005»
16 years 5 months ago
A Multiresolution Symbolic Representation of Time Series
Efficiently and accurately searching for similarities among time series and discovering interesting patterns is an important and non-trivial problem. In this paper, we introduce a...
Vasileios Megalooikonomou, Qiang Wang, Guo Li, Chr...
VLDB
2006
ACM
190views Database» more  VLDB 2006»
16 years 4 months ago
Online summarization of dynamic time series data
Managing large-scale time series databases has attracted significant attention in the database community recently. Related fundamental problems such as dimensionality reduction, tr...
Ümit Y. Ogras, Hakan Ferhatosmanoglu
WSOM
2009
Springer
15 years 11 months ago
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
Andreas Andreakis, Nicolai von Hoyningen-Huene, Mi...
DSN
2008
IEEE
15 years 11 months ago
TCP covert timing channels: Design and detection
Exploiting packets’ timing information for covert communication in the Internet has been explored by several network timing channels and watermarking schemes. Several of them em...
Xiapu Luo, Edmond W. W. Chan, Rocky K. C. Chang