Accuracy maximization and complexity minimization are the two main goals of a fuzzy expert
system based microarray data classification. Our previous Genetic Swarm Algorithm (GSA) …

In the growing scenario, microarray data is extensively used since it provides a more
comprehensive understanding of genetic variants among diseases. As the gene expression …

Intrusion detection is an important requirement in wireless mesh network and the intrusion
detection system (IDS) provides security by monitoring data traffic in real time. This work …

The genes data produced by microarray experiments is complex in terms of dimensions and
samples. It consumes a lot of computation power and time when it is processed for a disease …

Treatment to diabetes using microarray data has gained much attention among the
physician as it provides important information about pathological states as well as …

Gene expression profiles have been used for Cancer Classification recently. In this work, the
multi-SVM (Support Vector Machine) approach with a novel Gene selection method using …

Breast cancer is one of the most frequently diagnosed cancers and can lead to death in
women worldwide. Diagnosing breast cancer is one of the most challenging tasks as …

Microarray data analysis provides an effective methodology for the diagnosis of diseases
and cancers. Although much research has been performed on applying several techniques …

The paper discussed how to increase the effectiveness of semi-supervised clustering
algorithm by integrating active learning and semi-supervised clustering to guide the model …

Knowledge gained through classification of microarray gene expression data is increasingly
important as they are useful for phenotype classification of diseases. In this paper we …