Data Mining Algorithms and Applications
Data Mining Algorithms and Applications is a research topic within Information Systems. Science Explorer counts 36k research works in it since 1954. 20.4% of them reached the world's top 10% most cited for their field and year.
This cluster of papers covers a wide range of topics in data mining, including frequent pattern mining, association rule mining, sequential pattern mining, machine learning, decision trees, interestingness measures, high utility itemsets, temporal data mining, and knowledge discovery.
- Data Mining
- Frequent Patterns
- Association Rules
- Sequential Patterns
- Machine Learning
- Decision Trees
- Interestingness Measures
- High Utility Itemsets
- Temporal Data Mining
- Knowledge Discovery
- Research works
- 36k fractional, since 1954
- In the world top 10%
- 7.4k per year above
- Top-10% rate
- 20.4% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -16% the tick is no change
Which countries lead Data Mining Algorithms and Applications research?
By volume, China and India publish the most (1k and 590 works in 2022–2025).
By volume, 2022–2025
- 1 China 1k works
- 2 India 590 works
- 3 United States 452 works
- 4 Brazil 192 works
- 5 Indonesia 186 works
- 6 Germany 112 works
- 7 France 97 works
- 8 Japan 91 works
- 9 United Kingdom 84 works
- 10 Italy 80 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 Algorithms and Applications research?
By volume in 2022–2025, Yunnan University publishes the most Data Mining Algorithms and Applications research, followed by Vellore Institute of Technology University and Jinan University.
By volume, 2022–2025
- 1 Yunnan University China 17 works
- 2 Vellore Institute of Technology University India 15 works
- 3 Jinan University China 13 works
- 4 National University of Defense Technology China 13 works
- 5 Tsinghua University China 13 works
- 6 Chongqing University of Posts and Telecommunications China 13 works
- 7 King Abdullah University of Science and Technology Saudi Arabia 12 works
- 8 Shenzhen University China 12 works
- 9 Harbin Institute of Technology China 11 works
- 10 Xidian University China 11 works
Who are the leading researchers in Data Mining Algorithms and Applications?
The most-cited researchers publishing on Data Mining Algorithms and Applications include Jerome H. Friedman, Philip S. Yu and Francisco Herrera.
- 1 Jerome H. Friedman 11k citations
- 2 Philip S. Yu 6.6k citations
- 3 Francisco Herrera 6.5k citations
- 4 Leo Breiman 5.8k citations
- 5 Hans‐Peter Kriegel 5.7k citations
- 6 Witold Pedrycz 5.4k citations
- 7 Lei Zhang 5.3k citations
- 8 Jiawei Han 5.2k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Data Mining Algorithms and Applications research done?
The largest centres of Data Mining Algorithms and Applications research in 2022–2025 are Beijing (China), Xi'an (China), Chennai (India) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Ho Chi Minh City.
Largest cities, 2022–2025
Where it is the local speciality
- Ho Chi Minh CityVN · 27.5 works4.9×
Location quotient: how much more of its research is in Data Mining Algorithms and Applications than the world average.
Where is the best place to study Data Mining Algorithms and Applications?
Among universities, judged by research, Yunnan University, Shenzhen University and University of Manitoba 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 | Yunnan University China | 68.1 | 26.0% | 10.5× | 17 | +80.7% |
| 2 | Shenzhen University China | 60.3 | 39.1% | 3.9× | 12 | +218.1% |
| 3 | University of Manitoba Canada | 56.4 | 48.7% | 6.7× | 9 | +2.8% |
| 4 | King Abdullah University of Science and Technology Saudi Arabia | 56.0 | 18.8% | 10.4× | 12 | -17.6% |
| 5 | Hunan Normal University China | 55.0 | 45.6% | 8.3× | 8 | — |
| 6 | Southwest University China | 54.3 | 49.2% | 4.8× | 11 | +13.4% |
| 7 | Jinan University China | 52.4 | 33.3% | 7.2× | 13 | -65.5% |
| 8 | Chongqing University of Posts and Telecommunications China | 51.1 | 21.9% | 10.5× | 12 | -11.1% |
| 9 | Minnan Normal University China | 50.0 | 37.7% | 45.4× | 9 | -65.8% |
| 10 | Vellore Institute of Technology University India | 42.6 | 17.7% | 3.7× | 15 | +95.8% |
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 Algorithms and Applications research growing?
Output in 2018–2022 was 16% lower than in 2013–2017, peaking in 2011. The fastest-growing topics are Data Mining Algorithms and 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.