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Data Mining and Machine Learning Applications

TopicLeading institutions, researchers & key papers

This cluster of papers covers a wide range of applications of data mining, including the use of classification algorithms, neural networks, clustering methods, predictive modeling, artificial intelligence, backpropagation algorithm, association rule method, K-means clustering, and Naive Bayes classifier in various domains such as agriculture, education, healthcare, and business.

15
Works

How has Data Mining and Machine Learning Applications's publication output changed over time?

ScholarIQpublication output · 2017–2024

Output grew0% over the shown period — from 1 works in 2017 to 1 in 2024.

1
1
3
1
1
20172020202220232024

What are the most-cited papers on Data Mining and Machine Learning Applications?

ScholarIQmost cited works
Decision Support System for Determining Academic Advisor Using Simple Additive Weighting
M. Sivaram, S. Shanmugapriya, D. Yuvaraj, V. Porkodi, Ahmad Akbari, Wahidah Hashim, Andino Maseleno, Miftachul Huda
S2764905038. 202015 Citations
Enhancing Rice Production Prediction in Indonesia Using Advanced Machine Learning Models
Erlin Erlin, Arda Yunianta, Lili Ayu Wulandhari, Yenny Desnelita, Nurliana Nasution, Junadhi Junadhi
IEEE Access. 202414 CitationsOPEN ACCESS
Clickbait Headline Detection in Indonesian News Sites using Robustly Optimized BERT Pre-training Approach (RoBERTa)
Joshua Sirusstara, Neil B. Alexander, Akram Alfarisy, Said Achmad, Rhio Sutoyo
202212 Citations
Cluster Analysis of Inclusive Economic Development Using K-Means Algorithm
Riska Yanu Fa’rifah, Dita Pramesti
Jurnal Varian. 20229 CitationsOPEN ACCESS
Corruption Cases Mapping Based on Indonesia’s Corruption Perception Index
Noerlina, Lili Ayu Wulandhari, Sasmoko Sasmoko, Andi Muhammad Muqsith, M Alamsyah
S4210187594. 20177 CitationsOPEN ACCESS

Where is Data Mining and Machine Learning Applications research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation
NIH
Wellcome Trust
European Research Council
Funder breakdown is a member featureSign up free to unlock

How much of the research on Data Mining and Machine Learning Applications is open access?

ScholarIQopen access share
57%OPEN ACCESS
Gold
57%
Green
0%
Hybrid
0%
Bronze
0%
Closed
43%

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