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Topic · Information Systems

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. 9.7% 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%
2.4k
per year above
Top-10% rate
9.7%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+63%
the tick is no change
Largest producer
Indonesia
90% of the 10 largest, 2022-now
Data Mining and Machine Learning Applications

Which countries lead Data Mining and Machine Learning Applications research?

By volume, Indonesia and ?? publish the most (12k and 589 works in 2022-now).

By volume, 2022-now

  1. 1 Indonesia 12k works
  2. 2 ?? 589 works
  3. 3 India 192 works
  4. 4 Russia 114 works
  5. 5 Malaysia 109 works
  6. 6 United States 102 works
  7. 7 Canada 74 works
  8. 8 Philippines 36 works
  9. 9 China 36 works
  10. 10 Iraq 27 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.

Indonesia: 90.3%??: 4.5%India: 1.5%Russia: 0.9%6 others listed: 2.9%90%largest
Indonesia12k · 90.3%??589 · 4.5%India192 · 1.5%Russia114 · 0.9%6 others listed385 · 2.9%

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-now, 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-now

  1. 1 Universitas Informatika dan Bisnis IndonesiaIndonesia 243 works
  2. 2 Telkom UniversityIndonesia 211 works
  3. 3 Universitas Islam Negeri Sumatera UtaraIndonesia 186 works
  4. 4 State University of PadangIndonesia 184 works
  5. 5 University of Pembangunan Nasional Veteran Jawa TimurIndonesia 161 works
  6. 6 University of Singaperbangsa KarawangIndonesia 158 works
  7. 7 Universitas Nusa BangsaIndonesia 147 works
  8. 8 State University of MedanIndonesia 141 works
  9. 9 University of BrawijayaIndonesia 138 works
  10. 10 Universitas Islam Negeri Sultan Syarif Kasim RiauIndonesia 135 works

Who are the leading researchers in Data Mining and Machine Learning Applications?

The most-cited researchers publishing on Data Mining and Machine Learning Applications include Santi Martini.

  1. 1 Santi Martini Indonesia 63k 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 and Machine Learning Applications?

The most cited paper in Data Mining and Machine Learning Applications is "ANALISIS DATA KUALITATIF" (Ahmad Rijali, 2019), with 2,949 citations. Next come "Qualitative Data Analysis with NVivo" (2,544) and "Principal component analysis" (1,456).

Most cited papers
#PaperReleasedCitations
1 ANALISIS DATA KUALITATIF Ahmad Rijali · ALHADHARAH JURNAL ILMU DAKWAH Open access 2 Jan 2019 2,949
2 Qualitative Data Analysis with NVivo Pat Bazeley, Kristi Jackson 2007 2,544
3 Principal component analysis Jake Lever, Martin I. Krzywinski, Naomi Altman · Nature Methods 29 Jun 2017 1,456
4 Integration K-Means Clustering Method and Elbow Method For Identification of The Best Customer Profile Cluster Muhammad Ali Syakur, Bain Khusnul Khotimah, Eka Mala Sari Rochman et al. · IOP Conference Series Materials Science and Engineering Conference paperOpen access Apr 2018 1,208
5 Qualitative Data Analysis: An Introduction Maureen Kzillen, Nikki Jarrett · Journal of Advanced Nursing 2 Aug 2007 858
All 100 most cited papers, with filters and sorting

Where is Data Mining and Machine Learning Applications research done?

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

  1. 1 JakartaIndonesia 1.4k works
  2. 2 BandungIndonesia 995 works
  3. 3 SurabayaIndonesia 731 works
  4. 4 MedanIndonesia 696 works
  5. 5 SemarangIndonesia 644 works
  6. 6 YogyakartaIndonesia 557 works
  7. 7 MalangIndonesia 449 works
  8. 8 PadangIndonesia 369 works
  9. 9 MakassarIndonesia 365 works
  10. 10 BogorIndonesia 316 works

Where it is the local speciality

  1. Pematangsiantar35.8 works367×
  2. RosslandCA · 58.0 works117×
  3. SyktyvkarRU · 88.4 works91×
  4. Yogyakarta129.4 works69×
  5. BlitarID · 25.9 works44×
  6. Sumedang UtaraID · 37.4 works43×
  7. SitubondoID · 69.2 works41×
  8. Kediri33.1 works40×
← less than its size predicts1×more →

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

See Data Mining and Machine Learning Applications on the map

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

Among universities, judged by research, Universitas Teknokrat Indonesia, Binus University and Atma Jaya Catholic University of Indonesia 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%mean 19.51%fractional works in this field (log) →share of work in the world top 10% →Atma Jaya Catholic U…Universitas Teknokra…Binus UniversityUniversity of Singap…
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
1Universitas Teknokrat IndonesiaIndonesia 73.724.0%76.0×46 +38.4%
2Binus UniversityIndonesia 71.921.2%20.2×124 +165.2%
3Atma Jaya Catholic University of IndonesiaIndonesia 69.536.9%11.1×18 +414.4%
4University of Singaperbangsa KarawangIndonesia 65.615.6%34.8×158 +160.9%
5Universitas Amikom Yogyakarta 62.916.4%175.2×116 +40.8%
6Saveetha UniversityIndia 62.117.1%4.5×48 +4685.8%
7Universitas Muhammadiyah Prof Dr HamkaIndonesia 61.623.2%16.0×39 +424.3%
8University of BrawijayaIndonesia 61.511.2%13.9×138 +49.3%
9Universitas Islam Negeri Sultan Syarif Kasim RiauIndonesia 61.511.8%39.9×135 +126.1%
10Universitas Wijayakusuma PurwokertoIndonesia 61.517.7%67.7×66 +159.0%

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 and Machine Learning Applications, country by country

Is Data Mining and Machine Learning Applications research growing?

Output in 2022-2025 was 63% higher than in 2018-2021, peaking in 2023. The fastest-growing topics are Data Mining and Machine Learning Applications.

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 and Machine Learning Applications as a percentage of every work published that year, 0.059% in 2024.

still counting0.025%0.050%0.075%Data Mining and Machine Learning Applications0.050% in 202519801990200020102020

Fractional works of Data Mining and Machine Learning 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 and Machine Learning Applications9.7% in 202520102020

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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