Big Data: A Revolution That Will Transform How We Live, Work, and Think

By Saint John Walker. 2014

337 citations recorded by the source corpus.

Subfields: Information Systems and Management, Management Information Systems

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In Management Information Systems

Citations in the corpus

Tree-CNN: A Deep Convolutional Neural Network for Lifelong Learning (2018, background): “iscusses the merits and limitations of our network, and our ﬁndings and suggests opportunities for future work. 2 Related Work The modern world of digitized data produces new information every second [10], thus fueling the need for systems that can learn as new data arrives. Traditional deep neural ”
Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities (2020, background): “Some practitioners and researchers have associated big data with the next frontier for innovation, competition, and productivity [3], while others have even claimed that it is a revolution that will transform how we live, work, and think [4].”
A survey on data preprocessing for data stream mining: Current status and future directions (2017, background): “Presently, the amount generated data is growing exponentially following the emergence of Big Data phenomenon [4, 5].”
Big Data in the construction industry: A review of present status, opportunities, and future trends (2016, background): “Google processes above 24 petabytes of data per day [1], while Facebook gets more than 10 million photos per hour [1].”
Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming (2019, background): “Although there is no rigorous definition of big data [10], people typically characterize big data with five Vs, namely, volume, velocity, variety, veracity and value [11].”
Complex network approaches to nonlinear time series analysis (2019, methodology): “From a conceptual perspective, a JRN can be regarded as a RN for the combined system (X [1] ⊗ · · · ⊗ X [M]) in its higherdimensional phase space spanned by all state variables.”
Understandable Big Data: A survey (2015, background): “This ability to infer new insights from big data with an impact on privacy brings Mayer-Schönberger and Cukier [91] to define big data as “things one can do at a large scale that cannot be done at a smaller one, to extract new insights or create new forms of value, in ways that change markets, organ”
What is a flag for? Social media reporting tools and the vocabulary of complaint (2016, background): “This logic of “datafication” (Mayer-Schönberger and Cukier, 2013) poses its own dilemmas, codifying complaints as a legible regime of feeling, and using it to tap into otherwise undetectable patterns of user sentiment (Andrejevic, 2013).”