AI Bibliography
AI Bibliography |
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Gupta, S., Kar, A. K., Baabdullah, A., & Al-Khowaiter, W. A. (2018). Big data with cognitive computing: A review for the future. International Journal of Information Management, 42, 78–89. |
| Resource type: Journal Article BibTeX citation key: Gupta2018 View all bibliographic details  |
Categories: Artificial Intelligence, Cognitive Science, Computer Science, Data Sciences, Decision Theory, General, Neuroscience Subcategories: Augmented cognition, Big data, Decision making, Deep learning, Machine learning, Neurosymbolic Creators: Al-Khowaiter, Baabdullah, Gupta, Kar Publisher: Collection: International Journal of Information Management |
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| Abstract |
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Analysis of data by humans can be a time-consuming activity and thus use of sophisticated cognitive systems can be utilized to crunch this enormous amount of data. Cognitive computing can be utilized to reduce the shortcomings of the concerns faced during big data analytics. The aim of the study is to provide readers a complete understanding of past, present and future directions in the domain big data and cognitive computing. A systematic literature review has been adopted for this study by using the Scopus, DBLP and Web of Science databases. The work done in the field of big data and cognitive computing is currently at the nascent stage and this is evident from the publication record. The characteristics of cognitive computing, namely observation, interpretation, evaluation and decision were mapped to the five V’s of big data namely volume, variety, veracity, velocity and value. Perspectives which touch all these parameters are yet to be widely explored in existing literature.
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