標(biāo)題: Titlebook: Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data; Rajendra Akerkar Book 2020 Springer Nature Switzerla [打印本頁] 作者: 拿著錫 時(shí)間: 2025-3-21 16:40
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書目名稱Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data被引頻次
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書目名稱Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data讀者反饋
書目名稱Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data讀者反饋學(xué)科排名
作者: 蝕刻 時(shí)間: 2025-3-21 22:23 作者: 臭名昭著 時(shí)間: 2025-3-22 01:11 作者: 最初 時(shí)間: 2025-3-22 08:00
Knowledge Graphs and Natural-Language Processing,owerful techniques for data analysis and management. Knowledge graphs represent data in a rich, flexible, and uniform way that is well matched with the needs of emergency management. They build on existing standards, resources, techniques, and tools for semantic data and computing. This chapter expl作者: COWER 時(shí)間: 2025-3-22 11:10 作者: 六個(gè)才偏離 時(shí)間: 2025-3-22 13:49
Big Data-Driven Citywide Human Mobility Modeling for Emergency Management,nal methods for regular human mobility modeling fail on emergency management, because human mobility differs significantly from routines. In this chapter, we elaborate the challenges and review the state-of-the-art technologies to cope with the three fundamental tasks of human mobility modeling for 作者: 綠州 時(shí)間: 2025-3-22 19:08
Smartphone Based Emergency Communication,have attracted remarkable attentions on the management of ECNs. In this topic, we first review the state-of-the-art research efforts devoted to the establishment and management of smartphone based ECNs. The related key techniques and their significant roles for disaster-relief in ECNs are discussed.作者: Chauvinistic 時(shí)間: 2025-3-22 23:03
Emergency Information Visualisation,ely information is critical for efficient search and rescue operations. This chapter aims to give an understanding in how information can be designed and presented to give efficient and effective knowledge transfer and decision making. The focus of this chapter is on providing essential comprehensio作者: 責(zé)難 時(shí)間: 2025-3-23 03:40 作者: AUGUR 時(shí)間: 2025-3-23 09:29
978-3-030-48101-8Springer Nature Switzerland AG 2020作者: 詩集 時(shí)間: 2025-3-23 12:15 作者: Directed 時(shí)間: 2025-3-23 15:24
Learning Algorithms for Emergency Management,trategies over time, getting smarter about planning and response. This chapter discusses the application of fundamental learning techniques to support the decision making processes for emergency management. The chapter also presents exercises based on the learning techniques using emergency relevant tweeter datasets.作者: 得罪人 時(shí)間: 2025-3-23 18:12
Clinical Features in Peptic Ulcer Diseasecy services. These activities have the primary goal of managing hazards, risks, and emergencies of all types. The advances in information and communication technology have a profound impact on emergency management by making unprecedented volumes of data available to decision makers. This has resulte作者: 不出名 時(shí)間: 2025-3-24 00:57
Quantum Chromodynamics. Perturbation Theoryers many benefits for emergency management, but also pose new challenges. This chapter will review the sources of big data and their characteristics. We then discuss potential benefits of big data for emergency management along with the technological and the societal challenges it poses. We review c作者: Infect 時(shí)間: 2025-3-24 02:57 作者: 玩笑 時(shí)間: 2025-3-24 10:04
Masud Chaichian,Nikolai F. Nelipaowerful techniques for data analysis and management. Knowledge graphs represent data in a rich, flexible, and uniform way that is well matched with the needs of emergency management. They build on existing standards, resources, techniques, and tools for semantic data and computing. This chapter expl作者: FEAT 時(shí)間: 2025-3-24 13:17
Masud Chaichian,Nikolai F. Nelipa disasters as how platforms like Twitter and Facebook facilitate communication for both the public and response agencies during the time-critical events. Specifically, we introduce the concepts of social media mining for disaster events, provide the use-cases to mine social media for helping public 作者: 不朽中國 時(shí)間: 2025-3-24 15:07 作者: deciduous 時(shí)間: 2025-3-24 19:48 作者: 飛鏢 時(shí)間: 2025-3-24 23:27 作者: Fulsome 時(shí)間: 2025-3-25 03:44
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作者: 雪崩 時(shí)間: 2025-3-25 09:16 作者: cognizant 時(shí)間: 2025-3-25 12:32
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作者: 傲慢物 時(shí)間: 2025-3-25 17:44 作者: 違抗 時(shí)間: 2025-3-25 23:07 作者: cocoon 時(shí)間: 2025-3-26 02:19
Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data978-3-030-48099-8作者: Infect 時(shí)間: 2025-3-26 07:57
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作者: Conflict 時(shí)間: 2025-3-26 09:03
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.作者: Opponent 時(shí)間: 2025-3-26 14:50 作者: LAY 時(shí)間: 2025-3-26 20:15 作者: Congeal 時(shí)間: 2025-3-26 23:01
Big Data-Driven Citywide Human Mobility Modeling for Emergency Management,emergency management: (1) . a rare event in the past, (2) . the human mobility during a rare event, and (3) . an imaginary rare event. In the end, we conclude with a summarization of this chapter and future directions on this topic.作者: 愛哭 時(shí)間: 2025-3-27 01:46 作者: mechanism 時(shí)間: 2025-3-27 07:32
Masud Chaichian,Nikolai F. Nelipaand emergency services, and describe various methods of user, content, network, context, and visual analytics to process and analyze social media data for disaster management and community resilience.作者: LAY 時(shí)間: 2025-3-27 11:48
Path Integrals and Transition Amplitudesemergency management: (1) . a rare event in the past, (2) . the human mobility during a rare event, and (3) . an imaginary rare event. In the end, we conclude with a summarization of this chapter and future directions on this topic.作者: 起皺紋 時(shí)間: 2025-3-27 17:36 作者: 爵士樂 時(shí)間: 2025-3-27 19:41 作者: MUT 時(shí)間: 2025-3-28 01:54 作者: 能量守恒 時(shí)間: 2025-3-28 04:10 作者: Meager 時(shí)間: 2025-3-28 09:58 作者: Migratory 時(shí)間: 2025-3-28 13:42
Introduction to Emergency Management,ation technology have a profound impact on emergency management by making unprecedented volumes of data available to decision makers. This has resulted in new challenges related to an effective management of large volumes of data. In this chapter, we examine basic concepts of emergency management and provide its brief history.
