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 Continuously Changing Data in Spatiotemporal Databases. Managing Uncertainty of Moving Objects
Наименование:

Continuously Changing Data in Spatiotemporal Databases. Managing Uncertainty of Moving Objects

автор Shayma A. издательство Книга по Требованию Локальные и корпоративные сети
Cтраниц 96        мягкая обложка       
Аннотация:All the missing or non-recorded states collectively form the uncertainty of the object’s history. Applications that deal with large sets of Moving Objects (MOs) continue to grow, and so does the demand for efficient data management and query processing systems supporting MOs. This book reviews existing uncertainty models and proposes a more efficient model called the Tornado model that reduces the size of uncertainty regions resulting in less false hits, thus improving the efficiency of the database management system. For indexing purpose, we propose Minimum Bounding Rectangle approximations for the uncertainty models. This work should be especially useful to professionals in Spatiotemporal Databases and Uncertainty Management fields. Major challenges for developing such systems are due to the fact that the actual moving object reports its state that can continuously change over time, however, it is only possible to discretely record the object’s states. Finally, this book presents the Truncated Tornado in Tilted Minimum Bounding Boxes – an uncertainty model as a significant advance in minimizing uncertainty regions associated with MOs.
Автор: Shayma A.
Издательство: Книга по Требованию
Год:2009
Цена:
1996 руб
Нет в наличии
Поиск: Continuously Changing Data in Spatiotemporal Databases. Managing Uncertainty of Moving Objects
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
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Теория языкознания

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