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Topic · Information Systems

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. 10.1% 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%
3.7k
per year above
Top-10% rate
10.1%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-18%
the tick is no change
Largest producer
China
36% of the 10 largest, 2022-now
Data Mining Algorithms and Applications

Which countries lead Data Mining Algorithms and Applications research?

By volume, China and India publish the most (1.1k and 622 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.1k works
  2. 2 India 622 works
  3. 3 United States 472 works
  4. 4 Brazil 197 works
  5. 5 Indonesia 192 works
  6. 6 Germany 124 works
  7. 7 France 102 works
  8. 8 Japan 96 works
  9. 9 United Kingdom 89 works
  10. 10 Italy 84 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.

China: 36.5%India: 20.0%United States: 15.2%Brazil: 6.3%6 others listed: 22.0%36%largest
China1,136 · 36.5%India622 · 20.0%United States472 · 15.2%Brazil197 · 6.3%6 others listed686 · 22.0%

Shares of the rows listed above, not of the whole node.

Which institutions lead Data Mining Algorithms and Applications research?

By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Data Mining Algorithms and Applications research, followed by Chinese Academy of Sciences and Yunnan University.

By volume, 2022-now

  1. 1 Centre National de la Recherche ScientifiqueFrance 32 works
  2. 2 Chinese Academy of SciencesChina 23 works
  3. 3 Yunnan UniversityChina 18 works
  4. 4 SRM Institute of Science and TechnologyIndia 17 works
  5. 5 Vellore Institute of Technology UniversityIndia 16 works
  6. 6 National University of Defense TechnologyChina 15 works
  7. 7 Jinan UniversityChina 14 works
  8. 8 Vietnam National University Ho Chi Minh CityVietnam 14 works
  9. 9 Harbin Institute of TechnologyChina 13 works
  10. 10 Tsinghua UniversityChina 13 works

Who are the leading researchers in Data Mining Algorithms and Applications?

The most-cited researchers publishing on Data Mining Algorithms and Applications include Yoshua Bengio, Geoffrey E. Hinton and George Davey Smith.

  1. 1 Yoshua Bengio Canada 476k citations
  2. 2 Geoffrey E. Hinton Canada 454k citations
  3. 3 George Davey Smith United Kingdom 435k citations
  4. 4 Robert John Tibshirani United States 396k citations
  5. 5 Steven L. Salzberg United States 372k citations
  6. 6 Donald B. Rubin United States 301k citations
  7. 7 Trevor Hastie United States 301k citations
  8. 8 Xiaogang Wang China 260k citations
  9. 9 Leo Breiman United States 243k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Data Mining Algorithms and Applications?

The most cited paper in Data Mining Algorithms and Applications is "An introduction to ROC analysis" (Tom E. Fawcett, 2005), with 22,014 citations. Next come "The Elements of Statistical Learning: Data Mining, Inference, and Prediction" (19,372) and "A density-based algorithm for discovering clusters in large spatial Databases with Noise" (19,125).

Most cited papers
#PaperReleasedCitations
1 An introduction to ROC analysis Tom E. Fawcett · Pattern Recognition Letters 22 Dec 2005 22,014
2 The Elements of Statistical Learning: Data Mining, Inference, and Prediction Trevor Hastie, Robert John Tibshirani, Jerome H. Friedman 28 Jul 2013 19,372
3 A density-based algorithm for discovering clusters in large spatial Databases with Noise Martin Ester, Hans‐Peter Kriegel, Jörg Sander et al. 1996 19,125
4 The WEKA data mining software Mark Michael Hall, Eibe Frank, Geoffrey Holmes et al. · ACM SIGKDD Explorations Newsletter Open access 16 Nov 2009 17,902
5 Bagging Predictors Leo Breiman · Machine Learning Open access Aug 1996 17,320
All 96 most cited papers, with filters and sorting

Where is Data Mining Algorithms and Applications research done?

The largest centres of Data Mining Algorithms and Applications research in 2022-now 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-now

  1. 1 BeijingChina 156 works
  2. 2 Xi'anChina 59 works
  3. 3 ChennaiIndia 57 works
  4. 4 GuangzhouChina 54 works
  5. 5 ChengduChina 49 works
  6. 6 ShanghaiChina 48 works
  7. 7 NanjingChina 46 works
  8. 8 ChangshaChina 44 works
  9. 9 ChongqingChina 42 works
  10. 10 BengaluruIndia 41 works

Where it is the local speciality

  1. Ho Chi Minh CityVN · 30.2 works4.9×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Data Mining Algorithms and Applications than the world average.

See Data Mining Algorithms and Applications on the map

Where is the best place to study Data Mining Algorithms and Applications?

Among universities, judged by research, Southwest University, Shenzhen University and Yunnan University 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.

0%20%40%60%mean 29.12%fractional works in this field (log) →share of work in the world top 10% →Southwest UniversityHunan Normal Univers…Shenzhen UniversityYunnan University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Southwest UniversityChina 73.747.8%5.6×12 +20.3%
2Shenzhen UniversityChina 69.933.1%4.3×12 +106.2%
3Yunnan UniversityChina 62.917.1%11.8×18 +8.7%
4Hunan Normal UniversityChina 59.642.7%8.9×8 +98.3%
5Minnan Normal UniversityChina 58.933.5%57.2×10 +51.1%
6Jinan UniversityChina 56.019.5%6.7×14 +193.3%
7Vietnam National University Ho Chi Minh CityVietnam 55.827.1%8.2×14 -20.2%
8Southwest Jiaotong UniversityChina 54.642.0%3.8×11 -22.9%
9SRM Institute of Science and TechnologyIndia 54.510.8%4.3×17 +171.6%
10Chongqing University of Posts and TelecommunicationsChina 52.617.6%11.5×13 +14.3%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Data Mining Algorithms and Applications, country by country

Is Data Mining Algorithms and Applications research growing?

Output in 2022-2025 was 18% lower than in 2018-2021, peaking in 2011.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Data Mining Algorithms and Applications as a percentage of every work published that year, 0.023% in 2024.

still counting0.025%0.050%0.075%Data Mining Algorithms and Applications0.018% in 202519801990200020102020

Fractional works of Data Mining Algorithms and Applications over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Data Mining Algorithms and Applications9.8% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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