Hybrid learning-oriented approaches for predicting Covid-19 time series data: A comparative analytical study
Using medical science alongside time series data analysis can be given a strong tool to
develop efficient decision support systems in Corona pandemic. In this regard, many hybrid …
develop efficient decision support systems in Corona pandemic. In this regard, many hybrid …
Advanced pattern-mining system for fake news analysis
Decomposition MapReduce mining for fake news analysis (DMRM-FNA), a novel generic
parallel pattern-mining framework, is developed in this article to solve difficulties in social …
parallel pattern-mining framework, is developed in this article to solve difficulties in social …
Coupled risk analysis of hospital infection: A multimethod-fusion model combining association rules with complex networks
During the initial phase of COVID-19 pandemic, hospital infection (HI) accidents occurred
with alarming frequency. Proactively preventing and controlling HI risks is particularly …
with alarming frequency. Proactively preventing and controlling HI risks is particularly …
Keystrokes: A practical exploration of semantic drift in timed word association tasks
S MacNiven, R Tench - Plos one, 2024 - journals.plos.org
This study investigates the phenomena of semantic drift through the lenses of language and
situated simulation (LASS) and the word frequency effect (WFE) within a timed word …
situated simulation (LASS) and the word frequency effect (WFE) within a timed word …
Emotion-Aware Monitoring of Users' Reaction With a Multi-Perspective Analysis of Long-and Short-Term Topics on Twitter
Social networks, such as Twitter, play like a disinformation spread booster giving the chance
to individuals and organizations to influence users' beliefs on purpose through tweets …
to individuals and organizations to influence users' beliefs on purpose through tweets …
DEVELOPING A MODEL OF ASSOCIATION RULES WITH MACHINE LEARNING IN DETERMINING USER HABITS ON SOCIAL MEDIA.
M Arfah, F Fachrizal, O Nugroho - Eastern-European Journal …, 2024 - search.ebscohost.com
Developing a model of association rules with machine learning in determining user habits
on social media The object of the research is the habits of social media users. The problem …
on social media The object of the research is the habits of social media users. The problem …
Public concern and awareness of National Parks in China: Evidence from social media big data and questionnaire data
Y Dou, C Wu, Y He - Sustainability, 2023 - mdpi.com
The high quality development of national parks plays an important role in promoting the
formation of a reasonable, moderate and orderly land space protection pattern and building …
formation of a reasonable, moderate and orderly land space protection pattern and building …
[HTML][HTML] On the discovery of seasonal gradual patterns through periodic patterns mining
Gradual patterns, capturing intricate attribute co-variations expressed as “when X
increases/decreases, Y increases/decreases” in numerical data, play a vital role in …
increases/decreases, Y increases/decreases” in numerical data, play a vital role in …
Sentiment Analysis on English and Greek Twitter Data Regarding Vaccinations
C Dontaki, P Koukaras, C Tjortjis - 2023 14th International …, 2023 - ieeexplore.ieee.org
COVID-19 is one of the most discussed diseases worldwide. To control its spread, several
vaccines have been developed and approved. However, low acceptance and worries about …
vaccines have been developed and approved. However, low acceptance and worries about …
[HTML][HTML] A Cross-Product Analysis of Earphone Reviews Using Contextual Topic Modeling and Association Rule Mining
U Maidar, M Ra, D Yoo - Journal of Theoretical and Applied Electronic …, 2024 - mdpi.com
Within the evolving field of sentiment analysis, the integration of topic modeling and
association rule mining presents a promising yet underexplored method. This approach …
association rule mining presents a promising yet underexplored method. This approach …