Cargando…
Data mining in time series databases /
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 manual examines state-of-the-art methodology for mining time series databases. The novel data mining methods presented in t...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New Jersey ; London :
World Scientific,
©2004.
|
| Colección: | Series in machine perception and artificial intelligence ;
v. 57. |
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | 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 manual examines 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 text 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. |
|---|---|
| Descripción Física: | 1 online resource (xi, 192 pages) : illustrations. |
| Bibliografía: | Includes bibliographical references. |
| ISBN: | 1423723023 9781423723028 9789812382900 9812382909 1281347760 9781281347763 |