Due to sharp increases in data dimensions, working on every data mining or machine
learning (ML) task requires more efficient techniques to get the desired results. Therefore, in …

Feature Selection (FS) methods alleviate key problems in classification procedures as they
are used to improve classification accuracy, reduce data dimensionality, and remove …

Text classification has been highlighted as the key process to organize online texts for better
communication in the Digital Media Age. Text classification establishes classification rules …

Heart disease is one of the most complicated diseases, and it affects a large number of
individuals throughout the world. In healthcare, particularly cardiology, early and accurate …

The rise in web and social media interactions has resulted in the efortless proliferation of
offensive language and hate speech. Such online harassment, insults, and attacks are …

Feature selection has been an important research area in data mining, which chooses a
subset of relevant features for use in the model building. This paper aims to provide an …

Feature selection (FS) constitutes a series of processes used to decide which relevant
features/attributes to include and which irrelevant features to exclude for predictive …

Abstract The Myers-Briggs Type Indicator (MBTI) is a well-known personality test that
assigns a personality type to a user by using four traits dichotomies. For many years, people …

In recent years, with the continuous development of artificial intelligence and brain-computer
interface technology, emotion recognition based on physiological signals, especially …

In most conditions, it is a problematic mission for a machine-learning model with a data
record, which has various attributes, to be trained. There is always a proportional …