A survey of hybrid human-artificial intelligence for social computing

W Wang, H Ning, F Shi, S Dhelim… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the convergence of modern computing technology and social sciences, both theoretical
research and practical applications of social computing have been extended to new …

Impact of# PsychTwitter in promoting global psychiatry: a hashtag analysis study

FA Nawaz, MMA Riaz, C Tsagkaris, UH Faisal… - Frontiers in Public …, 2023 - frontiersin.org
Introduction Multiple studies have shown how valuable Twitter hashtags can be for
promoting content related to different themes in the online community. This arena has grown …

Knowledge management, innovation, technology and direct marketing as antecedents of data mining: the mediating role of direct marketing

T Saeed - Invertis Journal of Science & Technology, 2020 - indianjournals.com
The main objective of the present work was to examine the relationship among innovation,
technology, knowledge management, direct marketing and data mining. Additionally …

Machine Learning Prospects in Social Media and Cloud Data Mining and Analytics

T Hai, J Zhou, DNA Jawawi, X Zheng, S Dalal… - 2022 - researchsquare.com
Social media has become a significant platform not only for communication, but also for
business and marketing of content and services. These activities involve large volumes of …

Improved decision tree classification (IDT) algorithm for social media data

A Sharma, MK Sharma… - 2021 10th International …, 2021 - ieeexplore.ieee.org
In this paper we used classification algorithms on social networking. We are proposing, a
new classification algorithm called the improved Decision Tree (IDT). Our model provides …

Artificial intelligence for blockchain I

J Gupta, I Singh, KP Arjun - Blockchain, Internet of Things, and …, 2021 - taylorfrancis.com
Artificial Intelligence (AI) and Blockchain are two trending technologies in the current era.
Blockchain stands to revolutionize communication and transaction tracing, building a secure …

[PDF][PDF] Performance analysis of particle swarm optimization for feature selection

AO Bajeh, BO Funso… - FUOYE Journal of …, 2019 - academia.edu
One of the key task in data mining is the selection of relevant features from datasets with
high dimensionality. This is expected to reduce the time and space complexity, and …

Diabetes Predication Analysis using Supervised Machine Learning Algorithm

J Agarwal, A Sharma, N Gupta… - … on System Modeling …, 2022 - ieeexplore.ieee.org
In the present time when everything is modelized our lifestyle has been changed completely.
Changing eating habits and lifestyle or fewer physical habits may cause fatal diseases like …

Machine Learning Prospects: Insights for Social Media Data Mining and Analytics

A Sharma, V Kumar - International Journal of Innovative …, 2023 - acspublisher.com
Social network has increased surprising consideration in the most recent decade. Social
network deals with enormous volume of composite as well as unstructured data and they are …

Techniques for Data Mining Prediction in the Health Care Sector

AK Tripathi, A Sharma - International Journal of Innovative …, 2023 - acspublisher.com
Data mining is another term for knowledge discovery in databases (KDD). It's an
interdisciplinary field that focuses on rooting meaningful knowledge from data in all sectors …