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Data Mining In Time Series Databases
Ebooks category
Data Mining
File size
2.50 MB
, eBook Downloads [187]
Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery.
This book covers the state-of-the-art methodology for mining time series databases.
The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series.
A graph-based method for anomaly detection in time series is described and the book also studies the implications of a novel and potentially useful representation of time series as strings.
The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed. |
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