The clustering of biological sequence data is a significant task for biologists. The reason is that sequence clustering assists molecular biologists to group sequences based on the ancestral traits or hereditary information that are hidden in sequences. To accomplish the similarity detection and clustering tasks, several clustering algorithms, similarity and distance measures have been proposed...

The credit scoring model development has become a very important issue, as the credit industry is highly competitive. Therefore, considerable credit scoring models have been widely studied in the areas of statistics to improve the accuracy of credit scoring during the past few years. This study constructs a hybrid SVM-based credit scoring models to evaluate the applicant’s credit score accordin...

Where data based decision making is taking over businesses and elite sports, elite soccer is lacking behind. In elite soccer, decisions are still often based on emotions and recent results. As results are, however, dependent on many aspects, the reasons for these results are currently unknown by the elite soccer clubs. In our study, a method is proposed to determine the expected winner of a mat...

Where data based decision making is taking over businesses and elite sports, elite soccer is lacking behind. In elite soccer, decisions are still often based on emotions and recent results. As results are, however, dependent on many aspects, the reasons for these results are currently unknown by the elite soccer clubs. In our study, a method is proposed to determine the expected winner of a mat...

Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular approaches for building credit scoring models. Despite their popularity, quite a few limitations are known to be associated with these methods, such as being instable with high-dimensional data (also known as combinat...

BACKGROUND Myocardial perfusion imaging (MPI) has been used to estimate cardiac event risk. The aim of the present study is to achieve stable risk estimation based on perfusion scoring and a multi-center prognostic database. METHODS AND RESULTS Multivariate logistic regression analysis was performed to estimate cardiac event risk based on a J-ACCESS study. A stress-MPI was performed in 45 pat...

Where data based decision making is taking over businesses and elite sports, elite soccer is lacking behind. In elite soccer, decisions are still often based on emotions and recent results. As results are, however, dependent on many aspects, the reasons for these results are currently unknown by the elite soccer clubs. In our study, a method is proposed to determine the expected winner of a mat...

Where data based decision making is taking over businesses and elite sports, elite soccer is lacking behind. In elite soccer, decisions are still often based on emotions and recent results. As results are, however, dependent on many aspects, the reasons for these results are currently unknown by the elite soccer clubs. In our study, a method is proposed to determine the expected winner of a mat...

Where data based decision making is taking over businesses and elite sports, elite soccer is lacking behind. In elite soccer, decisions are still often based on emotions and recent results. As results are, however, dependent on many aspects, the reasons for these results are currently unknown by the elite soccer clubs. In our study, a method is proposed to determine the expected winner of a mat...

Where data based decision making is taking over businesses and elite sports, elite soccer is lacking behind. In elite soccer, decisions are still often based on emotions and recent results. As results are, however, dependent on many aspects, the reasons for these results are currently unknown by the elite soccer clubs. In our study, a method is proposed to determine the expected winner of a mat...