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SSDBM
2005
IEEE
175views Database» more  SSDBM 2005»
14 years 3 months ago
Assumption-Free Anomaly Detection in Time Series
Recent advancements in sensor technology have made it possible to collect enormous amounts of data in real time. However, because of the sheer volume of data most of it will never...
Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamon...
TSDM
2000
151views Data Mining» more  TSDM 2000»
14 years 1 months ago
Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events
The novel Time Series Data Mining (TSDM) framework is applied to analyzing financial time series. The TSDM framework adapts and innovates data mining concepts to analyzing time ser...
Richard J. Povinelli
IWANN
2009
Springer
14 years 4 months ago
Special Time Series Prediction: Creep of Concrete
This paper presents an algorithm, different from the classical time series, specialised in extracting knowledge from time series. The algorithm,
Juan L. Pérez, Fernando Martínez Abe...
ICDE
2006
IEEE
173views Database» more  ICDE 2006»
14 years 11 months ago
Threshold Similarity Queries in Large Time Series Databases
Similarity search in time series data is an active area of research. In this paper, we introduce the novel concept of threshold-similarity queries in time series databases which r...
Alexey Pryakhin, Hans-Peter Kriegel, Johannes A&sz...
AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
14 years 4 months ago
Useful Clustering Outcomes from Meaningful Time Series Clustering
Clustering time series data using the popular subsequence (STS) technique has been widely used in the data mining and wider communities. Recently the conclusion was made that it i...
Jason Chen