Data Preprocessing
Data Preprocessing is a foundational step in data analysis and machine learning that involves transforming raw data into a clean, consistent, and structured format suitable for mining and predictive modeling by applying techniques such as cleaning, integration, transformation, and reduction.
9.3K
Publications
748.6K
Citations
23.4K
Authors
5K
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Publications per year
2017–2026
3.6K
9.3K
Classification and Regression Trees.
Alexander Gordon, Leo Breiman, Jerome H. Friedman et al. · Biometrics · 1984 · 23.9K citations
Classification and Regression Trees.
John Van Ryzin, Leo Breiman, Jerome H. Friedman et al. · Journal of the American Statistical Association · 1986 · 21K citations
Mining association rules between sets of items in large databases
Rakesh Agrawal, Tomasz Imieliński, Arun Swami · 1993 · 14.8K citations · Full text
Haibo He, Edwardo A. Garcia · IEEE Transactions on Knowledge and Data Engineering · 2009 · 9.7K citations
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Universidad de Granada
Granada, Spain
52 h-index
311 publications
50.9K citations

University of Alberta
Edmonton, Canada
41 h-index
125 publications
8.8K citations

Harbin Institute of Technology
Harbin, China
35 h-index
134 publications
11.7K citations
Tsinghua University
Beijing, China
33 h-index
127 publications
10.1K citations

Polish Academy of Sciences
Warsaw, Poland
33 h-index
66 publications
3.3K citations

Southwest Jiaotong University
Chengdu, China
32 h-index
135 publications
9.7K citations
University of Technology Sydney
Sydney, Australia
32 h-index
104 publications
7.4K citations

King Abdulaziz University
Jeddah, Saudi Arabia
32 h-index
75 publications
4K citations
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305 publications · 18.1K citations
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204 publications · 14.4K citations
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130 publications · 16.4K citations
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162 publications · 10.3K citations
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TKDE · 73 publications · 20.8K citations
46
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