The Jaccard similarity index is an important measure of the overlap of two sets, widely used
in machine learning, computational genomics, information retrieval, and many other areas …

In the present scenario, humans are surrounded by numerous diseases which affect their
lifestyles. One such condition is glaucoma which originates due to sudden stress in the eye …

In this paper, a novel electroencephalographic (EEG)-based method is introduced for the
quantification of brain-electrical connectivity changes over a longitudinal evaluation of mild …

This paper evaluates performance of two clustering algorithms, namely k-means and mini
batch k-means, in the Android malware detection. Network traffic generated by the Android …

Lung cancer is the major cause of death among patients with cancer throughout the world.
The main symptom that indicate the lung cancer is the presence of lung nodules. This work …

This paper presents a data clustering approach using modified K-Means algorithm based on
the improvement of the sensitivity of initial center (seed point) of clusters. This algorithm …

For patients diagnosed with breast cancer who are undergoing neoadjuvant chemotherapy,
predicting the response of the tumor to treatment is critical, as it enables the initiation of new …

Mobile computing is an important field in information technology, because of the wide use of
mobile devises and mobile applications. Clustering gives good results with information …

针对DHR 系统服务体在面临共同漏洞时的系统脆弱性问题, 提出了一种改进的DHR 架构——
IDHR. 该架构在DHR 的基础上, 首先引入根据执行体间的异构性对执行体集进行划分的执行体 …

Social media such as Twitter connect billions of people by allowing them to exchange their
thoughts via short-text communication. Topic modelling is a widely used technique for …