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The theory provides a feasible basis for the proposed anomaly detection algorithm in the big data field.
The client sought to sustain its top-of-mind status long term in the hotly competitive, consumer-centric big data field.
Furthermore, there are qualitative approaches to describing the big data field in publications such as Chen et al. [13] and Tsai et al. [44].
Similarly, existing techniques and algorithms for deep learning in big data field have several advantages thanks to the two main branches of the deep learning, i.e. convolution and deep belief networks.
Although the proposed algorithm can overcome the noise interference and achieve anomaly detection with high probability, this algorithm is based on the complete data which greatly limits the application in the big data field.
Note that, although these works do not strive to deliver a formal definition, the description of the big data field in both these publications include the same aspects found in the definition themes.
Similar(52)
On the other hand, the success of deep learning (DL) in various big data fields has drawn several interests in cybersecurity fields.
Biomedical sciences, especially fields such as genomics, are becoming Big Data fields, driven, to a large extent, simply by the ability to generate enormous data sets.
The future, according to O'Reilly, is big data, a field where the I School is poised to be a leader.
The big data playing field is already crowded and companies will need to carefully assess the myriad options on the market before making an investment.
sigSense is hoping to bring big data to field service, with a new type of device that makes gathering data for technicians incredibly easy.
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