Breast cancer (BC) is one of the most common cancers among women worldwide,
representing the majority of new cancer cases and cancer-related deaths according to …

Breast cancer is one of the most common cancers in women, with the ability to metastasize
to secondary organs, which is the main cause of cancer-related deaths. Understanding how …

Classification, a data mining task is an effective method to classify the data in the process of
Knowledge Data Discovery. A Classification method, Decision tree algorithms are widely …

Research in anomaly detection suffers from a lack of realistic and publicly-available problem
sets. This paper discusses what properties such problem sets should possess. It then …

This article provides a thorough meta-analysis of the anomaly detection problem. To
accomplish this we first identify approaches to benchmarking anomaly detection algorithms …

In most applications, anomaly detection operates in an unsupervised mode by looking for
outliers hoping that they are anomalies. Unfortunately, most anomaly detectors do not come …

This paper presents a hybrid approach based on feature selection, fuzzy weighted pre-
processing and artificial immune recognition system (AIRS) to medical decision support …

taking into consideration of world cancer report given by the World Health Organization
(WHO) among women, breast cancer is the disease with the highest mortality rate …

In this study, we proposed a new medical diagnosis system based on principal component
analysis (PCA), k-NN based weighting pre-processing, and Artificial Immune Recognition …

This paper presents a novel method for diagnosis of hepatitis disease. The proposed
method is based on a hybrid method that uses feature selection (FS) and artificial immune …