A huge amount of data is generated daily leading to big data challenges. One of them is
related to text mining, especially text classification. To perform this task we usually need a …

In the age of the digital revolution and the widespread usage of social networks, the
modalities of information consumption and production were disrupted by the shift to …

In this study, we focus on semi-supervised data stream classification tasks. With the advent
of applications that generate vast streams of data, data stream mining algorithms are …

At present, graph regularized semi-supervised methods achieve excellent performance in
various fields. However, the manifold regularization term of most methods only considers the …

Background Acne is one of the most common skin lesions in adolescents. Some severe or
inflammatory acne leads to scars, which may have major impacts on patients' quality of life …

In this article, we consider the semi-supervised data stream classification problems. Most of
the semi-supervised learning algorithms suffer from a proper selection metric to select from …

The present paper focuses on semi-supervised classification problems. Semi-supervised
learning is a learning task through both labeled and unlabeled samples. One of the main …

The main focus of this article is to identify relationships among prognostic indices for
different breast cancer groups, using classification algorithms in the field of data mining …

Inthis article, wefocus on the classification problem to semi-supervised learning in non-
stationary environment. Semi-supervised learning is a learning task from both labeled and …

Customer opinion is an important aspect in determining the success of a company or service
provider. By determining the sentiment of the existing opinion, the company can use it as an …