| Data Mining in Time Series Databases Contributor(s): Bunke, Horst (Editor), Kandel, Abraham (Editor), Last, Mark (Editor) |
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ISBN: 9812382909 ISBN-13: 9789812382900 Publisher: World Scientific Publishing Company OUR PRICE: $122.55 Product Type: Hardcover - Other Formats Published: June 2004 |
| Additional Information |
| BISAC Categories: - Computers | Databases - Data Mining - Mathematics | Probability & Statistics - General - Computers | Intelligence (ai) & Semantics |
| Dewey: 005.74 |
| Series: Series in Machine Perception and Artifical Intelligence |
| Physical Information: 0.7" H x 6.2" W x 9" (0.95 lbs) 204 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |