Background Hepatitis is an inflammation of the liver, most commonly caused by a viral
infection. Supervised data mining techniques have been successful in hepatitis disease …

Data mining is often referred to by real-time users and software solutions providers as
knowledge discovery in databases (KDD). Good data mining practice for business …

The problem of learning from imbalanced data sets, while not the same problem as learning
when misclassification costs are unequal and unknown, can be handled in a similar manner …

Over the last two decades, multiple classifier system (MCS) or classifier ensemble has
shown great potential to improve the accuracy and reliability of remote sensing image …

For any pattern classification task, an increase in data size, number of classes, dimension of
the feature space, and interclass separability affect the performance of any classifier. A …

The exponential growth of the internet has led to a great deal of interest in developing useful
and efficient tools and software to assist users in searching the Web. Document retrieval …

Fuzzy sets were first proposed by Lotfi Zadeh in his seminal paper [366] in 1965, and ever
since have been a center of many discussions, fervently admired and condemned. Both …

During the last few years there has been marked attention towards hybrid and ensemble
systems development, having proved their ability to be more accurate than single classifier …

This paper proposes a reliable multiple combined fault diagnosis scheme for bearings using
heterogeneous feature models and an improved one-against-all multiclass support vector …

A number of classifier fusion methods have been recently developed opening an alternative
approach leading to a potential improvement in the classification performance. As there is …