Artificial Intelligence and Big Data

By Daniel E. O’Leary. IEEE Intelligent Systems, 2013

441 citations recorded by the source corpus.

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Big Data: Survey, Technologies, Opportunities, and Challenges (2014, background): “Accordingly, the speed of the access and mining of both structured and unstructured data has increased over time [76].”
Deep Computation Model for Unsupervised Feature Learning on Big Data (2016, background): “High variety refers to the different types of representations of big data such as image, text, numeric, audio and video [3].”
IoT-Enabled Social Relationships Meet Artificial Social Intelligence (2021, background): “all layers, from the physical layer to the application layer [29].”
Digital twin-driven product design, manufacturing and service with big data (2017, background): “, internet of things technology and devices are employed to collect various data generated in the entire produce lifecycle [2], cloud technology is used to realize the data management and processing [3], and artificial intelligence is used for data mining and realizing added-value [4], the big data-”
A Survey on Deep Learning in Big Data (2017, background): “Authors in [25] noted that about 75 percent of organizations apply at least one form of Big Data.”
The rise of "big data" on cloud computing: Review and open research issues (2015, background): “Internet users also generate an extremely diverse set of structured and unstructured data [12].”