data streams. Numerous machine learning-based models are developed to detect the concept drift in machine learning … devises dynamic streaming data analytics depending on the optimized hybrid deep learning classifier and Optimized Key …The generation of huge data with high velocity creates alteration in the distribution of the stream data, which is …

-of-vocabulary problems when matching dirty data. We highlight this property by applying an EM application to dirty financial firm-level data …

on early identification and precise risk prediction. Ensemble learning algorithms and merging large data have recently … ensemble learning and big data fusion for risk prediction and categorization of breast cancer. The key focus is building a … reliable and precise model by combining the best features of various learning algorithms and a variety of vast and varied data …