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A Research on Big Data Analytics Using Artificial Intelligence

  • V. Spoorthy,
  • Shubham Dodia,
  • Nirav Bhatt

摘要

Big data analytics can be said as the understanding of large unprocessed raw data and extracting and processing meaningful information from this data. Recent trends have captured different patterns associated with big data and have numerous real-time applications. Some of the applications are recommendation systems, virtual personal assistant tools, automobiles (self-driving cars), education, health care, the Internet of Things (IoT), and so on. The analysis of big data can help make the lives of humans easier by cutting down manual labor from labor-intensive jobs. In this paper, a survey on the deep learning methods that are used in various big data analytics applications has been discussed in detail. In recent trends, Artificial Intelligence (AI) has provided promising results in terms of analyzing large data and the performance of the system has also improved with the increase in big data analytics as these approaches are data-driven methods. This work provides insight into various applications associated with big data analytics and also the future directions in this domain.