Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.

Abstract: The aim of any data mining technique is to build an efficient predictive or descriptive model of a large amount of data. Applications of evolutionary algorithms have been found to be ...

The package provides support for modeling and simulating data streams as well as an extensible framework for implementing, interfacing and experimenting with algorithms for various data stream mining ...

Poultry industry as one of agricultural sector contributes to the economy through provision of food such as meat and eggs contributing 60% of protein to human’s diet 1,2. Indigenous chickens due to ...

Deep learning technology has been widely applied to multi-source data and imaging in the past decade. It aims to handle multi-modality data from different sources including images, text, audio and ...

1 College of Information Science and Technology, Jinan University, Guangzhou, China. 2 University of Birmingham Joint Institute, Jinan University, Guangzhou, China. Text classification is an essential ...

Cancer is one of the top causes of death globally. Recently, microarray gene expression data has been used to aid in cancer’s effective and early detection. The use of DNA microarray technology to ...

In the background of the information age, the importance of data resources can be imagined, and the importance of the use of data resources means—data mining has also emerged. In the current situation ...

Statistical data-mining (DM) and machine learning (ML) are promising tools to assist in the analysis of complex dataset. In recent decades, in the precision of agricultural development, plant ...

The rise of the machine has freed ICIJ members globally to pore over millions of documents in a custom-built search engine. But even this next-level research has posed substantial challenges: for ...