Data clustering: application and trends
Clustering has primarily been used as an analytical technique to group unlabeled data for
extracting meaningful information. The fact that no clustering algorithm can solve all …
extracting meaningful information. The fact that no clustering algorithm can solve all …
Topic modelling twitter data with latent dirichlet allocation method
Twitter is a popular social media for every user to issue thoughts and emotional forms which
are tweets, tweets that only have 140 characters with limitations to write in text. Twitter is one …
are tweets, tweets that only have 140 characters with limitations to write in text. Twitter is one …
Social media analytics: data utilization of social media for research
The amount of production data generated by social media opportunities that can be
exploited by various parties, both government and private sectors to produce the …
exploited by various parties, both government and private sectors to produce the …
Community detection in social networks using machine learning: a systematic map** study
M Nooribakhsh, M Fernández-Diego… - … and Information Systems, 2024 - Springer
One of the important issues in social networks is the social communities which are formed by
interactions between its members. Three types of community including overlap**, non …
interactions between its members. Three types of community including overlap**, non …
Data mining in education: managing digital content with social media analytics in medical education
N Al Said, L Vorona-Slivinskaya… - Interactive Learning …, 2024 - Taylor & Francis
The paper delves into social media mining in the context of medical education programs in
the information age. It explores the adaptability of Social Media Analytics (SMA) apps within …
the information age. It explores the adaptability of Social Media Analytics (SMA) apps within …
Analysis of academic social networks in Indonesia
Social network analysis to detect communities in social networks is a complex problem, this
is due to differences in community definitions and the complexity of social networks. One of …
is due to differences in community definitions and the complexity of social networks. One of …
Clustering Based Heuristics for Aligning Master Production Schedule and Delivery Schedule.
RD Astanti - Management Systems in Production …, 2024 - search.ebscohost.com
Abstract Making a Master Production Schedule (MPS) is a very important activity for a
manufacturing industry. This is due to the fact that MPS serves as an input for material and …
manufacturing industry. This is due to the fact that MPS serves as an input for material and …
A Novel Hybrid Model based on Sentiment Analysis using Community Guided Link Prediction for Connecting People with Similar Interest
S Luthra, R Kumar, M Gupta - IEEE Access, 2024 - ieeexplore.ieee.org
In this study, a novel hybrid recommendation model is designed for popular social media
platforms such as Facebook, Twitter, WhatsApp, and Instagram. Recognizing the global …
platforms such as Facebook, Twitter, WhatsApp, and Instagram. Recognizing the global …
Pemanfaatan Analisis Jaringan Sosial Dalam Penentuan Centrality Dalam Pengembangan Web Berita Online
F Ramadhan - Journal of Computer and Information Systems …, 2020 - journal-computing.org
Revolusi digital selama berapa tahun terakhir ini meningkat pesat dan membuat
perkembangan pada basis data. Perkembangan data tersebut sering terjadi beredar secara …
perkembangan pada basis data. Perkembangan data tersebut sering terjadi beredar secara …
Implementasi Kecerdasan Buatan Pada Proses Bisnis
S Adi - Universitas Bina Darma, 2022 - eprints.binadarma.ac.id
Tren bisnis yang sangat pesat membuat kecerdasan buatan semakin marak digunakan
diberbagai proses bisnis. Implementasi kecerdasan buatan pada proses bisnis dapat dilihat …
diberbagai proses bisnis. Implementasi kecerdasan buatan pada proses bisnis dapat dilihat …