Large private companies had shown interest in adopting big data technologies. The review
of literature and report from international industry analyst were being analyzed on the trends …

With big data technology and predictive analytics techniques, organisations can now
register, combine, process and analyse data to answer questions that were unsolvable a few …

A lot of time is spent searching for the most performing data mining algorithms applied in
clinical diagnosis. The study set out to identify the most performing predictive data mining …

According to some embodiments, historical claim data may be stored in a computer storage
unit. The historical claim data may be used to train and verify a predictive model, the …

This paper focused on the development of a predictive model for the classification of the risk
of kidney stones in Nigerian using data mining techniques based on historical information …

1. Summary In October 2019 the International Railway Safety Council (IRSC) will be holding
IRSC 2019–an annual rail safety conference–in Perth, Western Australia. The purpose of …

The increasing focus on evidence-based healthcare services as well as rising health
expenditures for inpatient treatment forces hospitals to introduce new approaches to allow …

According to some embodiments, historical claim data may be stored in a computer storage
unit. The historical claim data may be used to train and verify a predictive model, the …

La predicción de eventos futuros es una de los mayores intereses del ser humano, más aun
cuando se pueden obtener beneficios económicos a través de los resultados de esta …

In order to generate meaningful information from the large datasets, mining algorithms have
been used. Mining algorithms are used to abstract the unknown pattern from the immense …