Highlighted uncertainty of big data

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Reference no: EM132904038

While this topic highlighted the uncertainty of Big Data, the author identified the following as areas for future research. Pick one of the following for your Research paper:

- Additional study must be performed on the interactions between each big data characteristic, as they do not exist separately but naturally interact in the real world.

- The scalability and efficacy of existing analytics techniques being applied to big data must be empirically examined.

- New techniques and algorithms must be developed in ML and NLP to handle the real-time needs for decisions made based on enormous amounts of data.

- More work is necessary on how to efficiently model uncertainty in ML and NLP, as well as how to represent uncertainty resulting from big data analytics.

- Since the CI algorithms are able to find an approximate solution within a reasonable time, they have been used to tackle ML problems and uncertainty challenges in data analytics and process in recent years.

Reference no: EM132904038

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