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Bakhshi et al. [7] mention that big data techniques (in their study, text- or data-mining techniques) are used for only half of the companies in their sample.
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Furthermore, the development of information technology has resulted in the interests in utilizing cloud computing [8] and big data techniques, as shown in Fig. 1, to improve the performance of power system protection and control.
European financial regulators are worried that big data techniques might result in restrictions on consumer access to products and services in future, and are considering whether new rules might be needed to tackle the risk of more granular algorithmic analysis leading to discrimination.
This concept showed that big data techniques could yield benefits in the enterprise environment even when working on anonymized data.
Finally, we are concerned with fields/business domains in which big data techniques are applied.
Big data techniques helped it to save around €10 billion, or $12.7 billion, in recent years.
The research work presented in this paper has only investigated a small area using big data techniques.
Also, the level of big data analytics, types of big data models and a variety of big data techniques have been reviewed and summarized.
The fact shows that since their emergence, big data techniques are changing very fast.
This paper explores the relationship between landscape diversity and crop production using big data techniques.
Here, we review some of the recent advances in the application of big data analysis techniques in structural and functional imaging data.
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