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Beschreibung
This book investigates the challenging research problem of detecting projected outliers that are embedded in high-dimensional data streams. This book is a good reference for outlier detection techniques and approaches in high-dimensional data and data streams. This book also presents an in-depth discussion on a efficient and effective method for detecting projected outliers from high-dimensional data streams through subspace exploration.
Details
| Verlag | LAP LAMBERT Academic Publishing |
| Ersterscheinung | 14. Juli 2017 |
| Maße | 22 cm x 15 cm x 1 cm |
| Gewicht | 233 Gramm |
| Format | Softcover |
| ISBN-13 | 9783330329638 |
| Seiten | 144 |
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