WSOM
2009
Springer
14 years 7 months ago
2009
Springer
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...
IV
2009
IEEE
14 years 7 months ago
2009
IEEE
We have various interesting time series data in our daily life, such as weather data (e.g., temperature and air pressure) and stock prices. Polyline chart is one of the most commo...
INFOCOM
2009
IEEE
14 years 7 months ago
2009
IEEE
—We propose to use multiscale entropy analysis in characterisation of network traffic and spectrum usage. We show that with such analysis one can quantify complexity and predict...
ICDM
2009
IEEE
14 years 7 months ago
2009
IEEE
—Time series motifs are sets of very similar subsequences of a long time series. They are of interest in their own right, and are also used as inputs in several higher-level data...
CEC
2009
IEEE
14 years 7 months ago
2009
IEEE
— The mining of meaningful shapes of time series is done widely in order to find shapes that can be used, for example, in classification problems or in summarizing signals. Nor...
DASFAA
2009
IEEE
14 years 7 months ago
2009
IEEE
Similarity search in time series data is used in diverse domains. The most prominent work has focused on similarity search considering either complete time series or certain subseq...
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Homepage EDBT
2006
ACM
15 years 17 days ago
2006
ACM
Effective and efficient data mining in time series databases is essential in many application domains as for instance in financial analysis, medicine, meteorology, and environmenta...
EDBT
2006
ACM
15 years 17 days ago
2006
ACM
Similarity search in time series data is required in many application fields. The most prominent work has focused on similarity search considering either complete time series or si...
KDD
2002
ACM
15 years 25 days ago
2002
ACM
In the last decade there has been an explosion of interest in mining time series data. Literally hundreds of papers have introduced new algorithms to index, classify, cluster and s...