Work closely with Team to improve their processes and systems (using diagnostic analytics, data mining, data analytics, process mining) Work on data analytics, predictive analytics and AI/ML projects ...

Abstract: Distributed data mining techniques and mainly distributed clustering are widely used in the last decade because they deal with very large and heterogeneous datasets which cannot be gathered ...

Data mining technology can be used to automatically discover knowledge from software testing data. It is helpful to increase software developing process and improve software quality. At first, ...

Methods Key gaps in operational measurement might be filled via thoughtful statistical analysis of existing large clinical, billing, administrative claims or similar data sets. In this manuscript, we ...

This systematic review and meta-analysis aims to estimate the effect of cognitive reasoning tools on improving diagnostic performance among medical ... PROSPERO registration number CRD42020186994.

Opinions expressed are those of the author. Data analytics platforms like SAP continue to be the foundation of enterprise operations across industries. From managing financial transactions and ...

Data analytics has become a game-changer for companies looking to make smarter, faster and more strategic decisions. By turning raw data into actionable insights, finance teams are improving ...

aDepartment of Medical Microbiology, Mycobacteriology (BSL-3) Laboratory, Makerere University, Kampala, Uganda bDepartment of Medical Microbiology, Makerere University College of Health Sciences, ...

In particular, they have turned to one company: Palantir, the data analysis and technology firm. The Trump administration has expanded Palantir’s work across the federal government in recent months.

Third, clustering is carried ... principal component analysis and t-SNE. As more and more large and unlabeled datasets are available in the community, researchers will be able to extract interesting ...