Nowadays, review systems have been developed with social media Recommendation
systems (RS). Although research on RS social media is increasing year by year, the …

Computationally inexpensive reduced order models such as Chemical Reactor Networks
(CRN) are encouraging tools to obtain fast numerical solutions. However, the accuracy of …

The frequent user interactions happening in the form of textual contents like reviews, ratings,
tags, blogs, testimonials, and so forth transformed the social media platform into a …

Social media has significantly influenced modern lifestyle and the way in which most of the
industries operate their business. Social media data refers to the contents created by users …

Social media has become a prominent source for information in multiple business domains
as it provides a true and real-time reflection of societal inclinations. The tourism domain …

Social media being the most eminent source toward the growth of big data is important for
information retrieval‐based applications to improve the efficiency in proportional to the …

Abstract Clustering High-Dimensional, Low Sample Size (HDLSS) data is an active area of
research with many applications, including the biological sciences and computer vision …

In order to find the” best-performing” data transformation technique this research makes use
of two linear dimension reduction techniques, namely Principal Component Analysis and …

The research replicates and extends the paper-Renjith et al.(2021), where the central aim
was to compare different Dimension Reduction (DR) techniques for clustering tasks. The …

The last decades, data usage has grown rapidly, resulting in complex and big datasets. This
research tries to find the optimal combination of clustering algorithms and dimensionality …