With the advent of Internet, people actively express their opinions about products, services,
events, political parties, etc., in social media, blogs, and website comments. The amount of …

In the past decades, the rapid growth of computer and database technologies has led to the
rapid growth of large-scale datasets. On the other hand, data mining applications with high …

Gene expression data have become increasingly important in machine learning and
computational biology over the past few years. In the field of gene expression analysis …

In recent decades, the improvement of computer technology has increased the growth of
high-dimensional microarray data. Thus, data mining methods for DNA microarray data …

In the past decades, the rapid growth of computer and database technologies has led to the
rapid growth of large-scale medical datasets. On the other, medical applications with high …

With increasing number of documents in digital format, automatic text categorization has
become a crucial task in pattern recognition problems. To ease the classification task …

Sentiment classification over Twitter is usually affected by the noisy nature (abbreviations,
irregular forms) of tweets data. A popular procedure to reduce the noise of textual data is to …

The goal of feature selection in text classification is to choose highly distinguishing features
for improving the performance of a classifier. The well-known text classification feature …

Automated regulatory and contractual compliance checking requires automated rule
extraction from regulatory and contractual textual documents (eg, contract specifications) …

In machine learning, an efficient classifier model design is mostly based on effective feature
extraction and appropriate feature selection. This work mainly focused on different optimized …