Sentence examples for such as data extraction from inspiring English sources

As the Web is now populated with large volume of information, it has become necessary to capture selected portions of web information in a data warehouse that supports further information processing such as data extraction, data classification, and data mining.

Other features include the addition of features that allow for internal audits within DSRC, such as data extraction regarding time spent in each of the research administration activities.

All researchers received regular training in trial-specific methodologies, such as data extraction and vignette writing, clinical features of prostate cancer and other common co-morbidities, histology and radiology reporting, as well as the broader aspects of screening trials.

As data extraction required some interpretation, particularly for the subjective areas such as study conclusion, there is the potential that different raters would categorize the conclusions differently.

That leads to difficulties with client reference data and documentation sharing, as well as data extraction or aggregation from flawed databases.

This chapter deals with five case studies that show the importance of pinch analysis in a very wide range of situations with practical examples of its implementation, particularly in the tricky areas such as stream data extraction that is difficult to systematize.

The papers are organized in topical sections such as information extraction and integration; data mining and knowledge discovery; indexing, query processing and optimization; data quality and data cleansing; distributed data platforms, including cloud data systems, key-value stores, and big data systems; and streaming data analysis; web, XML and semi-structured databases.

A study assistant with IT training visited all participating practices and extracted the requested patient data making use of a mandatory interface of the practice software program [ 11], as such data extraction via Internet is not compliant with current German legislation.

NLP problems such as Information Extraction, Question Answering Systems and Text Classification Systems should benefit from Semantic Extraction.

As described above, data in EHRs are very rarely coded and as such automated data extraction is not possible.

It is important to apply a proper statistical analysis post-data acquisition such as data reduction, feature extraction and visualization.