Ensemble methods overcome the limitations of single machine learning techniques by
combining different techniques, and are employed in the quest to achieve a high level of …

Classification is one of the most often employed data mining techniques. It focuses on
developing a classification model or function, also known as a classifier, and predicting the …

Big data mining is an excellent source of information and knowledge from systems to end
users. However, managing such amounts of data or knowledge requires automation, which …

In recent years, classification and analysis of user reviews or opinions are becoming one of
the significant aspects of sentiment analysis. It involves finding the polarity of each review …

Purpose This work can be used as a building block in other settings such as GPU, Map-
Reduce, Spark or any other. Also, DDPML can be deployed on other distributed systems …

Machine learning (ML) is a type of artificial intelligence (AI) that empowers a framework to
gain information instead of through express programming. The application of ML techniques …

In China, universities are important centers for SR (scientific research) and innovation, and
the quality of SR management has a significant impact on university innovation. The …

The healthcare environment produces very large data, so it needs many effective and
important roles in order to extract and analyze data as well as access to knowledge …

In recent years, classification and analysis of user reviews or opinions are becoming one of
the significant aspects of sentiment analysis. It involves finding the polarity of each review …

In China, universities are important centers for SR (scientific research) and innovation, and
the quality of SR management has a significant impact on university innovation. e …