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ICDE
2007
IEEE
183views Database» more  ICDE 2007»
15 years 6 days ago
SpADe: On Shape-based Pattern Detection in Streaming Time Series
Monitoring predefined patterns in streaming time series is useful to applications such as trend-related analysis, sensor networks and video surveillance. Most current studies on s...
Yueguo Chen, Mario A. Nascimento, Beng Chin Ooi, A...
VLDB
2005
ACM
122views Database» more  VLDB 2005»
14 years 4 months ago
Streaming Pattern Discovery in Multiple Time-Series
In this paper, we introduce SPIRIT (Streaming Pattern dIscoveRy in multIple Timeseries). Given n numerical data streams, all of whose values we observe at each time tick t, SPIRIT...
Spiros Papadimitriou, Jimeng Sun, Christos Falouts...
EDBT
2010
ACM
156views Database» more  EDBT 2010»
14 years 2 months ago
Pattern detector: fast detection of suspicious stream patterns for immediate reaction
Detecting emerging problems in information and manufacturing systems is the goal of monitoring tools. Good and timely detection of problematic conditions from measured indicators ...
Ira Assent, Hardy Kremer, Stephan Günnemann, ...
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
14 years 2 months ago
Online discovery and maintenance of time series motifs
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...
Abdullah Mueen, Eamonn J. Keogh
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
12 years 6 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson