With the recent financial crisis and European debt crisis, corporate bankruptcy prediction
has become an increasingly important issue for financial institutions. Many statistical and …

In this study, a new hybrid feature selection method named as AP has been formed to detect
breast cancer, using association rules (Apriori algorithm) and Principal Component Analysis …

Many researchers have been inspired to work on diverse challenges by a particularly
favourable platform, namely mobile ad hoc networks (MANET) routing optimization …

For breast cancer data classification, we propose an ensemble filter feature selection
approach named †EnSNR’. Entropy and SNR evaluation functions are used to find the …

Bagging is one of the older, simpler and better known ensemble methods. However, the
bootstrap sampling strategy in bagging appears to lead to ensembles of low diversity and …

In this paper, a new approach based on Binary Black Hole Algorithm (BBHA) and Adaptive
Boosting version Ml (AdaboostM1) is proposed for finding genes that can classify the group …

The early signal of the potential risk of bank failure is imperative for various stakeholders
such as management personnel, lenders, and shareholders. This study has developed a …

Identifying affected cancer cells in women's breasts is mammogram, which is the major issue
in the field of medicine all over the world. In order to raise the endurance of patients, it is …

Electric power quality (PQ) problems are very important aspects due to the increase in the
number of loads which are sensitive to power disturbances. One of the important issues in …

Feature Selection plays an important role in many areas especially in classification tasks. It
is also an important pre-treatment for every classification process and not only decreases …