Grid-based approaches render an efficient framework for data clustering in the presence of
incomplete, inexplicit, and uncertain data. This paper proposes an entropy-based grid …

Internet of Things (IoT) is a network which connects different communication devices with the
internet to attain quick, robust and realtime information transfer and communication …

Uncertainty is an ever present challenge in data analysis. In particular, it is important to
detect, as precisely as possible, unforeseen phenomena. In this paper we study the …

In psychology, clinical instruments are often used for assessing the cognitive domains and
detecting mental alterations. Nevertheless, after the screening stage, the recommendation of …

The rapid development of artificial intelligence models in electrical engineering drew
attention to the outlier detection methods because they represent one of the main causes of …

The occurrence of local outliers produced by the K-means algorithm remains challenging
since they affect the clustering performance due to misclassification. While current …

The trading timing and decisions thereof revolve around complexities related to volatile
behavior of stock markets. Volatility is an uncertain outcome which might pose challenges …

Recently diabetic problems are faced by the human irrespective of the age group which
leads to the health issue, so it will be handled carefully through medicine. Existing system …

Abstract Systems and methods for detecting suspicious malware by analyzing data such as
transfer protocol data or logs from a host within an enterprise is provided. The systems and …