Special Issue on Big Data

Jushan Bai; Jianqing Fan; Ruey S. Tsay

doi:10.1080/07350015.2016.1197681

September 15, 2016Journal of Business and Economic StatisticsOpen Access

Special Issue on Big Data

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Key Points

To review advancements, architectures, and analytical challenges associated with massive data generation across modern digital and physical surveillance platforms.
Synthesized developments in high-throughput data collection across web search queries, social media channels, and surveillance video streams.
Evaluated computational frameworks and data management techniques designed to process high-volume digital datasets.
Highlights exponential growth in digital footprint generation driven by ubiquitous video surveillance and billions of social media interactions.
Identifies key infrastructure and computational paradigms required to analyze, store, and extract actionable insights from large-scale data streams.

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Implication

Overview highlights massive data collection across surveillance and online platforms, indicating expanding requirements for big data processing.

Abstract

Information and technology have revolutionized data collection. Millions of surveillance video cameras and billions of Internet searches and social media chats and tweets that produce massive data ...

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Bai et al. (2016) studied this question.

synapsesocial.com/papers/6a18108a3275b64d0e6f78e2 https://doi.org/10.1080/07350015.2016.1197681

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Special Issue on Big Data

Key Points

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Implication

Abstract

Discussion

Cite This Study

Special Issue on Big Data

Key Points

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Implication

Abstract

Discussion

Cite This Study

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