The semantic web is an emerging technology that helps to connect different users to create
their content and also facilitates the way of representing information in a manner that can be …

Web contains a vast amount of data, which are accumulated, studied, and utilized by a huge
number of users on a daily basis. A substantial amount of data on the Web is available in an …

The imbalanced classification problem has always been one of the important challenges in
neural network and machine learning. As an effective method to deal with imbalanced …

This paper addresses the problem of responding to user queries by fetching the most
relevant object from a clustered set of objects. It addresses the common drawbacks of cluster …

Анотація The problem of eliminating the inadequacy that arises during by using develop
ontologies is solved by modifying the development model of fuzzy ontologies. We propose a …

Query expansion is an important approach utilized to improve the efficiency of data retrieval
tasks. Numerous works are carried out by the researchers to generate fair constructive …

The Semantic Web emerged as an extension to the traditional Web, adding meaning
(semantics) to a distributed Web of structured and linked information. At its core, the concept …

Bottleneck issues handled in the field of information retrieval are analysis of query and
management of data storage. Hadoop is a large scale environment that is supported with …

Abstract Classical or traditional Information Retrieval (IR) approaches rely on the word-
based representations of query and documents in the collection. The specification of the …

This paper presents a multi-modal fusion machine learning algorithm to detect active
malicious accounts in social networks. First, we use the XGBoost algorithm to rank features' …