Recently, numerous studies have been conducted on Missing Value Imputation (MVI),
intending the primary solution scheme for the datasets containing one or more missing …

Missing data is one of the most common issues encountered in data cleaning process
especially when dealing with medical dataset. A real collected dataset is prone to be …

Diabetes is a common, chronic disease. Prediction of diabetes at an early stage can lead to
improved treatment. Data mining techniques are widely used for prediction of disease at an …

Integrated farm management (IFM) is promoted as a whole farm approach toward
Agriculture 4.0, incorporating smart farming technologies for attempting to limit livestock …

Abstract Autism Spectrum Disorder is a neuropsychiatric condition affecting 53 million
children worldwide and for which early diagnosis is critical to the outcome of behavior …

In the era of big data, data is increasingly driving the construction waste management
(CWM) for minimizing the impacts on the environment and recycling construction materials …

Railway accident prediction is of great significance for establishing an early warning
mechanism and preventing the occurrences of accidents. Safety agencies rely on prediction …

Railroads are critical to the economic health of a nation. Unfortunately, railroads lose
hundreds of millions of dollars from accidents each year. Trends reveal that derailments …

Abstract Machine Learning (ML) is integrated into a growing number of systems for various
applications. Because the performance of an ML model is highly dependent on the quality of …

Data Mining performs a major role in healthcare services because disease recognition and
investigation contains a vast amount of data. These conditions generate several data …