Sentence examples for veracity refers to from inspiring English sources

Veracity refers to the biases, noise, and abnormality in data.

Finally, Veracity refers to trustworthiness and reliability of data.

Veracity refers to the trustworthiness of the data in Big Data.

Variety means that data can come in different forms such as unstructured (e.g., text), semi-structured (e.g., XML documents), or structured (e.g., as a table), and veracity refers to the fact the data may or may not be trustworthy or uncertain.

This characteristic requires the implementation of real-time processing for the streaming data analysis (e.g. on social media, different types of transactions or trading systems, etc).. Veracity refers to the complexity of data which may lead to a lack of quality and accuracy.

In addition there is veracity, which refers to the accuracy and truthfulness of the captured data and the meaningfulness of the results generated from the data for certain problems.

Veracity directly refers to inconsistencies and data quality problems: With the huge volume of generated data, the fast velocity of arriving data, and the large variety of heterogeneous data, the quality of data is far from perfect.

This equates to a massive quantity of data that can be both structured and unstructured, while velocity refers to the speed of data processing, and veracity determines its uncertainty.

One sub-clause only refers to veracity.

But, veracity in this context refers to the particular matter of truth-telling to patients or patients' families regarding medical errors of self or other colleagues; hospital infections; and the diagnosis, development, and prognosis of disease.

In summary, the five aspects mentioned above reflect the primary characteristics of big data, which refers to volume, variety, velocity, veracity, and value [2, 4 6, 13].