Big Data: A Survey

By Min Chen, Shiwen Mao, Yunhao Liu. Mob. Networks Appl., 2014

1,850 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/b12a264640c86c4b0fb1abb5ea24ad605e84e705

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In Artificial Intelligence

In Information Systems

In Management Information Systems

Citations in the corpus

A Manufacturing Big Data Solution for Active Preventive Maintenance (2017, background): “In [14], the four phases of the value chain of big data were studied: data generation, data acquisition, data storage, and data analysis.”
Big Data technologies: A survey (2017, neutral): “There exist many Big Datasurveysintheliteraturebutmostofthemtendtofocusonalgo-rithms and approaches used to process Big Data rather than technologies (Ali et al., 2016; Chen and Zhang, 2014; Chen et al., 2014a) (cf. Section 6).”
Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data (2017, background): “, text, image, audio, or video) that are either structured, semistructured, or nonstructured at all [6], [7].”
Small business awareness and adoption of state-of-the-art technologies in emerging and developing markets, and lessons from the COVID-19 pandemic (2020, background): “Big data analytics is the technology designed to economically extract value from massive volumes of a wide variety of data by enabling high-velocity capture, discovery, and analysis (Chen, Mao, and Liu 2014; Hu et al. 2014).”
Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection (2020, neutral): “Stress influence line (SIL) features include SIL change, and the first-and second-order differences whose performance in damage detection have been confirmed in numerical models of a suspension bridge (Chen et al. 2014c) and a cable-stayed bridge (Sun et al. 2016).”
Big Data sources and methods for social and economic analyses (2017, background): “Given this recent technological and data revolution, research in this topic is in its early stage (Chen et al., 2014).”
Big Data Analytics in Intelligent Transportation Systems: A Survey (2019, background): “Many people use Big Data analytics in various fields, and have achieved great success [2].”
A survey towards an integration of big data analytics to big insights for value-creation (2018, background): “9 describes the big data storage for various platforms (Hu et al., 2014; Chen, 2014).”
Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study (2017, background): “The first four attributes are shared by all big data applications [74], [109], [110], while the last one (e.”
Factors influencing big data decision-making quality (2017, background): “In contrast Chen and Liu (2014) only use three steps; data handling, data processing, and data moving.”