Data Mining and Machine Learning Applications
Data Mining and Machine Learning Applications is a research topic within Information Systems. Science Explorer counts 24k research works in it since 1970. 7.2% of them reached the world's top 10% most cited for their field and year.
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.
- Data Mining
- Classification Algorithms
- Neural Networks
- Clustering Methods
- Predictive Modeling
- Artificial Intelligence
- Backpropagation Algorithm
- Association Rule Method
- K-Means Clustering
- Naive Bayes Classifier
- Research works
- 24k fractional, since 1970
- In the world top 10%
- 1.8k per year above
- Top-10% rate
- 7.2% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +354% the tick is no change
Which countries lead Data Mining and Machine Learning Applications research?
By volume, Indonesia and ?? publish the most (11k and 555 works in 2022–2025).
By volume, 2022–2025
- 1 Indonesia 11k works
- 2 ?? 555 works
- 3 India 182 works
- 4 Russia 109 works
- 5 Malaysia 106 works
- 6 United States 98 works
- 7 Canada 74 works
- 8 Philippines 33 works
- 9 China 33 works
- 10 Iraq 26 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Data Mining and Machine Learning Applications research?
By volume in 2022–2025, Universitas Informatika dan Bisnis Indonesia publishes the most Data Mining and Machine Learning Applications research, followed by Telkom University and Universitas Islam Negeri Sumatera Utara.
By volume, 2022–2025
- 1 Universitas Informatika dan Bisnis Indonesia Indonesia 214 works
- 2 Telkom University Indonesia 205 works
- 3 Universitas Islam Negeri Sumatera Utara Indonesia 173 works
- 4 State University of Padang Indonesia 169 works
- 5 University of Singaperbangsa Karawang Indonesia 151 works
- 6 University of Pembangunan Nasional Veteran Jawa Timur Indonesia 148 works
- 7 Universitas Nusa Bangsa Indonesia 136 works
- 8 University of Brawijaya Indonesia 136 works
- 9 State University of Medan Indonesia 131 works
- 10 Udayana University Indonesia 128 works
Where is Data Mining and Machine Learning Applications research done?
The largest centres of Data Mining and Machine Learning Applications research in 2022–2025 are Jakarta (Indonesia), Bandung (Indonesia), Surabaya (Indonesia) and Medan (Indonesia). Among places with at least 20 works in it, it is an unusually large share of all research in Pematangsiantar, Rossland and Syktyvkar.
Largest cities, 2022–2025
- 1 Jakarta Indonesia 1.4k works
- 2 Bandung Indonesia 937 works
- 3 Surabaya Indonesia 693 works
- 4 Medan Indonesia 643 works
- 5 Semarang Indonesia 606 works
- 6 Yogyakarta Indonesia 533 works
- 7 Malang Indonesia 432 works
- 8 Makassar Indonesia 348 works
- 9 Padang Indonesia 345 works
- 10 Bogor Indonesia 301 works
Where it is the local speciality
- Pematangsiantar35.6 works348×
- RosslandCA · 58.0 works116×
- SyktyvkarRU · 83.6 works87×
- Yogyakarta125.6 works70×
- BlitarID · 25.9 works43×
- Sumedang UtaraID · 36.6 works42×
- Kediri32.0 works38×
Location quotient: how much more of its research is in Data Mining and Machine Learning Applications than the world average.
Where is the best place to study Data Mining and Machine Learning Applications?
Among universities, judged by research, Telkom University, Atma Jaya Catholic University of Indonesia and Universitas Amikom Yogyakarta score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Telkom University Indonesia | 71.2 | 9.1% | 32.4× | 206 | +2733.2% |
| 2 | Atma Jaya Catholic University of Indonesia Indonesia | 70.9 | 26.1% | 10.0× | 18 | +133.3% |
| 3 | Universitas Amikom Yogyakarta ?? | 68.6 | 10.7% | 159.2× | 113 | +1872.3% |
| 4 | Universitas Islam Negeri Sultan Syarif Kasim Riau Indonesia | 65.7 | 7.2% | 34.9× | 127 | +355.7% |
| 5 | Sepuluh Nopember Institute of Technology Indonesia | 65.5 | 6.4% | 22.7× | 116 | +215.2% |
| 6 | Binus University Indonesia | 65.2 | 12.3% | 18.2× | 120 | +107.9% |
| 7 | Universitas Wijayakusuma Purwokerto Indonesia | 64.5 | 9.9% | 59.1× | 62 | +1472.2% |
| 8 | State University of Makassar Indonesia | 64.3 | 6.7% | 11.8× | 114 | +863.8% |
| 9 | Diponegoro University Indonesia | 64.1 | 5.8% | 12.4× | 119 | +330.0% |
| 10 | Universitas Informatika dan Bisnis Indonesia Indonesia | 64.0 | 3.3% | 50.1× | 214 | +1628.4% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Data Mining and Machine Learning Applications research growing?
Output in 2018–2022 was 354% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Data Mining and Machine Learning Applications.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.