Extended Classifier Systems, or XCS, is a soft-computing approach to machine learning in rule-based systems. While XCS has been shown effective in learning accurate, compact and complete mappings of an environment’s payoff landscape, it can require significant resources to do so. This paper presents four modifications that allow XCS to achieve high performance even in highly size-constrained po...

Using data mining techniques in intrusion detection systems is common for the classification of the network events as either normal events or attack events. Naïve Bayes (NB) method is a simple, efficient and popular data mining method that is built on conditional independence of attributes assumption. Hidden Naïve Bayes (HNB) is an extended form of NB that keeps the NB's simplicity and efficien...

Introduction Breast cancer is the second cause of mortality among women. Early detection of it can enhance the chance of survival. Screening systems such as mammography cannot perfectly differentiate between patients and healthy individuals. Computer-aided diagnosis can help physicians make a more accurate diagnosis. Materials and Methods Regarding the importance of separating normal and abnorm...

In the diagnosis of epileptic seizures, classification is an important step that directly affects results. Visual inspection Electroencephalogram (EEG) a relatively common analytic method epilepsy, but it costly, time-consuming and relies on experiences doctor. Therefore, development efficient accurate seizure automatic system suitable for clinical has become urgent task. order to better solve ...