Titlebook: Effects of Data Overload on User Quality of Experience; Josephina Antoniou,Orestis Tringides Book 2023 The Editor(s) (if applicable) and T

Guffaw

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书目名称Effects of Data Overload on User Quality of Experience被引频次学科排名




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书目名称Effects of Data Overload on User Quality of Experience年度引用学科排名




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书目名称Effects of Data Overload on User Quality of Experience读者反馈学科排名

男生戴手铐

Nayeli Salgado,Ricardo Apariciocan provide. Storage as a service is a popular service on a cloud platform that will be explored in the chapter. The chapter further models the interaction between a data owner and a malicious attacker who is after the data, as a grid game, in order to demonstrate the importance of securing data on the cloud.

Control-Group

conspicuous

斜谷

Financial Data, Blockchain, Decision-Making and Quality of Experience,lockchain design. The chapter proposes a model for the process of mining in a cryptocurrency system. In the process of mining, miners have to create and publish blocks and within those steps, they can decide to be honest or dishonest about their progress with the block validation. Game theory helps us explore motivations for different decisions.

AMEND

Public Data, Media Platforms, Well-Being and Quality of Experience, looking for information, they will often turn to the most immediate and accessible source, such as social media. However, the set of information on social media is in essence, user-generated content. This can result in misinformation and larger social issues in times of crisis.

AMEND

prodrome

Context Data, the Internet of Things, Security and Quality of Experience, without human intervention. A number of ethical values often come across when we discuss the potential of IoT technology and its challenges. These values are further explored in the chapter in relation to IoT.

fender

Minatory

Generated Data, Artificial Intelligence, Power Asymmetries and Quality of Experience,er discusses the challenges of such systems. For instance, training an AI model requires a huge amount of data, which is not always available. A solution to using existing datasets as they are is to use generated/synthetic data. This is further investigated and modelled in this chapter.