The Age of Big Data

By Steve Lohr. 2015

415 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/62d3d79cf1845bac650167d300dc696b4eec4214

Citations in the corpus

• Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics (2017, unknown): “corporates endless amount of information [56].”
• Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective (2020, unknown): “This increases the risk of false discoveries (Lohr, 2012).”
• CloudCV: Large-Scale Distributed Computer Vision as a Cloud Service (2015, unknown): “A recent World Economic Form report [18] and a New York Times article [38] declared data to be a new class of economic asset, like currency or gold.”
• Big data and its technical challenges (2014, unknown): “Even popular news media now appreciates the value of Big Data as evidenced by coverage in the Econo-mist , 7 the New York Times , 15,16 National Public Radio , 19,20 and Forbes magazine.”
• Big Data: A Survey (2014, unknown): “In addition, issues on big data are often covered in public media, such as The Economist [3, 4], New York Times [5], and National Public Radio [6, 7].”
• Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science (2016, unknown): “…to model building and the combination various data sources might present itself through the recent rise of big data technologies which has been already suggested as shaping the future of performance analysis in elite soccer (Cassimally 2012; Kasabian 2014; Lohr 2012; Medeiros 2014; Norton 2014).”
• A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications (2017, unknown): “One real-world example is United Parcel Service (UPS), which is one of the largest shipping companies in the world [79].”
• The role of big data in smart city (2016, unknown): “The age of big data in the smart city (Lohr, 2012) has opened a vast number of opportunities for new value creation.”
• Sociology in the Era of Big Data: The Ascent of Forensic Social Science (2015, unknown): “In biomedicine, scholars refer to this as the “ big data ” revolution (Cukier and Mayer-Schoenberge 2013; Hilbert and López 2011; Lohr 2012); in the social sciences, they refer to it by the same name or as “ computational social science ” (Lazer et al. 2009).”
• Data Safe Havens in health research and healthcare (2015, unknown): “A fundamental challenge is to site such data in repositories that can easily be accessed under appropriate technical and governance controls which are effectively audited and are viewed as trustworthy by diverse stakeholders.”
• Big Data in product lifecycle management (2015, unknown): “The creator of the “ Day in the Life ” photography series even suggests that “ Big Data ” is an intelligent tool to combat poverty, crime, and pollution [21].”
• Big Data and cloud computing: innovation opportunities and challenges (2017, unknown): “Advanced sensors and their hosting devices (e.g. mobile phones, health monitors) are connected in a cyber-physical system to measure time and location of humans, movement of automobiles, vibration of machine, temperature, precipitation, humidity and chemical changes in the atmosphere (Lohr 2012).”
• A Survey on Deep Learning in Big Data (2017, unknown): “One example of application of Deep Learning in Big Data is Microsoft speech recognition (MAVIS) that is using DL enables searching of audios and video files through human voices and speeches [20] [37].”
• Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014, unknown): “,the Economist [3], [4], the New York Times [5], and the National Public Radio (NPR) [6], [7]).”