The art of unwinding voluminous data expects the expertise in analyzing meaningful
decisions out of the acquired information. To encounter new age challenges, practitioners …

Vulnerable road users (VRUs) are exposed to the highest risk in the road traffic environment.
Analyzing contributing factors that affect injury severity facilitates injury severity prediction …

Big Data (BD)-driven business intelligence (BI) is considered to be a new development
stage within industrial engineering management to achieve higher business value creation …

This article investigates how Process Mining may be used to check process conformance in
enterprise information system development. The concept of using Process Mining beyond …

The causes analysis of road traffic accidents is often modelled based on high-dimensional
small-sample data; however, such models often have low predictive accuracy and poor …

Background: The use of social media for disseminating health care information has become
increasingly prevalent, making the expanding role of artificial intelligence (AI) and machine …

Researchers need to be able to integrate ever-increasing amounts of data into their
institutional databases, regardless of the source, format, or size of the data. It is then …

In recent years, research information systems (RIS) have become an integral part of the
university's IT landscape. At the same time, many universities and research institutions are …

Each and every business enterprises require noise-free and clean data. There is a chance
of an increase in dirty data as the data warehouse loads and refreshes a large quantity of …

Collecting, integrating, storing and analyzing data in a database system is nothing new in
itself. To introduce a current research information system (CRIS) means that scientific …