An efficient recommendation generation using relevant Jaccard similarity
In the literature, various collaborative filtering approaches have been developed to perform
an efficient recommendation on top of reducing the search cost of the customers. The …
an efficient recommendation on top of reducing the search cost of the customers. The …
SMSH: Secure surveillance mechanism on smart healthcare IoT system with probabilistic image encryption
The Internet of Things is made of diverse networked things (ie, smart, intelligent devices) that
are consistently interconnected, producing meaningful data across the network without …
are consistently interconnected, producing meaningful data across the network without …
Development of new seed with modified validity measures for k-means clustering
S Manochandar, M Punniyamoorthy… - Computers & Industrial …, 2020 - Elsevier
Conventional k-means clustering is the widely used partitional method, mainly adapted to
machine learning and pattern recognition problems. This algorithm is highly sensitive to …
machine learning and pattern recognition problems. This algorithm is highly sensitive to …
Exploring the synergy between nano-influencers and sports community: behavior mapping through machine learning
Purpose The paper aims to explore the influence of cybersecurity on the semantic
orientation of the sports consumers. Focusing on both sport and esports, this study finds the …
orientation of the sports consumers. Focusing on both sport and esports, this study finds the …
Parallel batch k-means for Big data clustering
The application of clustering algorithms is expanding due to the rapid growth of data
volumes. Nevertheless, existing algorithms are not always effective because of high …
volumes. Nevertheless, existing algorithms are not always effective because of high …
Decision support system for safety improvement: An approach using multiple correspondence analysis, t-SNE algorithm and K-means clustering
K Dhalmahapatra, R Shingade, H Mahajan… - Computers & Industrial …, 2019 - Elsevier
An attempt has been made to develop a decision support system (DSS) for safety
improvement using a multi-step knowledge discovery process involving multiple …
improvement using a multi-step knowledge discovery process involving multiple …
Social media usage and entrepreneurial investment: An information-based view
J Chen, L Liu - Journal of Business Research, 2023 - Elsevier
This paper investigates how entrepreneurs' social media use affects the entrepreneurial
reinvestment of the ventures. Drawing on the information-based view of entrepreneurship …
reinvestment of the ventures. Drawing on the information-based view of entrepreneurship …
Exploratory text data analysis for quality hypothesis generation
Freestyle text data such as surveys, complaint transcripts, customer ratings, or maintenance
squawks can provide critical information for quality engineering. Exploratory text data …
squawks can provide critical information for quality engineering. Exploratory text data …
Scaling feature selection method for enhancing the classification performance of Support Vector Machines in text mining
S Manochandar, M Punniyamoorthy - Computers & industrial engineering, 2018 - Elsevier
The classification of opinion based on customer reviews is a complex process owing to high
dimensionality. In this study, our objective is to select the minimum number of features to …
dimensionality. In this study, our objective is to select the minimum number of features to …
Social recommendations for facebook brand pages
YP Chiu - Journal of theoretical and applied electronic commerce …, 2021 - SciELO Chile
Social Recommendations for Facebook Brand Pages SciELO - Scientific Electronic Library
Online vol.16 número1 How Individual Investors React to Negative Events in the FinTech Era …
Online vol.16 número1 How Individual Investors React to Negative Events in the FinTech Era …