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Titlebook: Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data; Rajendra Akerkar Book 2020 Springer Nature Switzerla

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樓主: 拿著錫
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發(fā)表于 2025-3-25 03:44:23 | 只看該作者
Rajendra AkerkarDescribes the benefits of Big Data in Emergency Management in the simplest of terms.Covers intelligent techniques for Emergency Management.Includes research directions, practice questions, and additio
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發(fā)表于 2025-3-25 09:16:00 | 只看該作者
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發(fā)表于 2025-3-25 12:32:46 | 只看該作者
cy Management is the process of planning and taking actions to minimize the social and physical impact of emergencies and reduces the community’s vulnerability to the consequences of emergencies. Information ex978-3-030-48101-8978-3-030-48099-8
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發(fā)表于 2025-3-25 17:44:29 | 只看該作者
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發(fā)表于 2025-3-25 23:07:39 | 只看該作者
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發(fā)表于 2025-3-26 02:19:45 | 只看該作者
Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data978-3-030-48099-8
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發(fā)表于 2025-3-26 07:57:51 | 只看該作者
Book 2020 Big Data for Emergency Management. It walks the reader through the state of the art, in different facets of the big disaster data field. This includes many elements that are important for these technologies to have real-world impact. This book brings together different computational techniques from
28#
發(fā)表于 2025-3-26 09:03:05 | 只看該作者
Masud Chaichian,Nikolai F. Nelipaples of relevant semantic data sources and vocabularies. Natural-language texts—in particular those collected from social media such as Twitter—is a type of data source that poses particular analysis challenges. We therefore include an overview of techniques for processing natural-language texts.
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發(fā)表于 2025-3-26 14:50:09 | 只看該作者
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發(fā)表于 2025-3-26 20:15:39 | 只看該作者
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