One of the most important research issues in finance is building effective corporate
bankruptcy prediction models because they are essential for the risk management of …

A number of software cost estimation methods have been presented in literature over the
past decades. Analogy based estimation (ABE), which is essentially a case based reasoning …

Evolutionary algorithms has been recently used for prototype selection showing good
results. An important problem that we can find is the scaling up problem that appears …

Clustering techniques are widely used in Web Usage Mining to capture similar interests and
trends among users accessing a Web site. For this purpose, web access logs generated at a …

Case-based reasoning (CBR) is one of the most popular prediction techniques in medical
domains because it is easy to apply, has no possibility of overfitting, and provides a good …

Support vector machine (SVM) is a popular machine learning method with a solid theoretical
foundation, and has shown promising performance on different classification problems …

In data mining, an important goal is to generate an abstraction of the data. Such an
abstraction helps in reducing the space and search time requirements of the overall decision …

Measuring and managing the financial sustainability of the borrowers is crucial to financial
institutions for their risk management. As a result, building an effective corporate financial …

Abstract k-means clustering method is an iterative partition-based method which for finite
data-sets converges to a solution in a finite time. The running time of this method grows …

Non-parametric methods like Nearest neighbor classifier (NNC) and its variants such as k-
nearest neighbor classifier (k-NNC) are simple to use and often shows good performance in …