Spatiotemporal Analytics, Bakhshandeh, Behnam Rothwell, William J. Imroz, So

Автор: Ma Zongmin, Bai Luyi, Yan Li
Название: Modeling Fuzzy Spatiotemporal Data with XML
ISBN: 3030419983 ISBN-13(EAN): 9783030419981
Издательство: Springer
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Цена: 18294.00 р.
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Описание: The topics covered include representation of fuzzy spatiotemporal XML data, topological relationship determination for fuzzy spatiotemporal XML data, mapping between the fuzzy spatiotemporal relational database model and fuzzy spatiotemporal XML data model, and consistencies in fuzzy spatiotemporal XML data updating.

Автор: Ma Zongmin, Bai Luyi, Yan Li
Название: Modeling Fuzzy Spatiotemporal Data with XML
ISBN: 3030420019 ISBN-13(EAN): 9783030420017
Издательство: Springer
Цена: 18294.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The topics covered include representation of fuzzy spatiotemporal XML data, topological relationship determination for fuzzy spatiotemporal XML data, mapping between the fuzzy spatiotemporal relational database model and fuzzy spatiotemporal XML data model, and consistencies in fuzzy spatiotemporal XML data updating.

Автор: Berkay Aydin; Rafal. A Angryk
Название: Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
ISBN: 3319998722 ISBN-13(EAN): 9783319998725
Издательство: Springer
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Цена: 6707.00 р.
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Описание: This SpringerBrief provides an overview within data mining of spatiotemporal frequent pattern mining from evolving regions to the perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access methodologies for mining algorithms. While the focus of this book is to provide readers insight into the mining algorithms from evolving regions, the authors also discuss data management for spatiotemporal trajectories, which has become increasingly important with the increasing volume of trajectories.This brief describes state-of-the-art knowledge discovery techniques to computer science graduate students who are interested in spatiotemporal data mining, as well as researchers/professionals, who deal with advanced spatiotemporal data analysis in their fields. These fields include GIS-experts, meteorologists, epidemiologists, neurologists, and solar physicists.