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Big data with cognitive computing: A review for the future

机译:认知计算的大数据:未来的回顾

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摘要

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.
机译:人类对数据的分析可能是一项耗时的活动,因此可以使用复杂的认知系统来处理大量数据。认知计算可以用来减少大数据分析过程中面临的关注的缺点。这项研究的目的是为读者提供对大数据和认知计算领域过去,现在和未来方向的完整理解。通过使用Scopus,DBLP和Web of Science数据库,对该研究进行了系统的文献综述。大数据和认知计算领域的工作目前尚处于起步阶段,这从出版物记录中可以明显看出。认知计算的特征(即观察,解释,评估和决策)映射到大数据的五个V,即容量,种类,准确性,速度和价值。涉及所有这些参数的观点尚未在现有文献中得到广泛探讨。

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