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It is clear that dose-tracking systems will play a key role in the management of the big data stream of this future obligation.
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Essentially, I-SDS allows big data streams to be clustered.
The most pre-requirement of big data stream mining in applications such as health-care is privacy preserving [54].
Quality of service (QoS) parameters such as end-to-end delay, accuracy, and real-time processing are some constraints of big data stream processing.
For example, when Netflix recommends a movie to watch, or Amazon recommends a product, these are examples of machine learning over a big data stream.
First, utilizing parallelism to expand the effectiveness of FADS algorithm and make it applicable for big data stream anonymization.
Big data associated with time stamp is called big data stream.
The FADS algorithm handles tuples sequentially so is not suitable for big data stream.
The most far-sighted companies did not just use the big data stream from their networks as a way to keep their data safe, said Martin Borrett, director of security systems at IBM.
That data is harvested and used to build a sales organization's big data stream.
Big data reduction is mainly considered to be the dimension reduction problem because the massive collection of big data streams introduces the 'curse of dimensionality' with millions of features (variables and dimensions) that increases the storage and computational complexity of big data systems [5].
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