The similarity recommendation of twitter data is evaluated by using sentiment analysis
method. In this paper, the deep learning processes such as classification, clustering and …

Purpose: The fields of data mining rely heavily on clustering algorithms. Spread information
mining systems and fundamentally decentralized batching turned out to be generally utilized …

Laterally with the birth of the Internet, the fast growth of mobile strategies has democratised
content production owing to the widespread usage of social media, resulting in a detonation …

This paper proposes a deep learning approach to recognize Tamil Letter from images which
contains text. This is recognition process, the text in the images are divided to letter or …

Abstract Machine learning is the subset of Artificial Intelligence and it is used for prediction
various real time data analytics applications. Health care monitoring is the major area to …

Load balancing is major issue in federated cloud environment. Various services can be
offered by different cloud service providers. As per current working environment cloud …

This study applies the Apriori algorithm to analyse patterns, syntactic structures, and
thematic clusters in Chinese studies data from various genres. This study aims to identify …

Due to the advancement of information technology, there's a growing emphasis on effective
decision-making across various domains. Information technology systems are recognized …

Facial expression is very essential in interpersonal relationships. Human-machine
interaction is a recently emerging field in which the Facial Expression Recognition System …

Internet of Things (IoT) support for smart city systems improves service scales by ignoring
various user congestion. People are looking for different security features for reliable and …