Incremental Data Mining
Incremental Data Mining is a data mining paradigm that belongs to the class of scalable data mining techniques, distinguished by its ability to update models or mine patterns efficiently from newly arriving data without reprocessing the entire dataset from scratch.
282
Publications
16.5K
Citations
694
Authors
302
Institutions
Publications per year
2017–2026
61
Parents
282
Mining time-changing data streams
Geoff Hulten, Laurie Spencer, Pedro Domingos · 2001 · 1.8K citations
Data Mining Concepts and Techniques Third Edition
Jiawei Han, Micheline Kamber, Jian Pei · 2021 · 1.2K citations
Incremental Induction of Decision Trees
Paul E. Utgoff · Machine Learning · 1989 · 796 citations · Full text
1–5 of 282
694
13
h-index
Western Norway University of Applied Sciences, Norway
13 publications · 539 citations
13
h-index
11
h-index
6
h-index
5
h-index
1–5 of 694
302

Sejong University
Seoul, South Korea
12 h-index
50 publications
1.6K citations

National University of Kaohsiung
Kaohsiung City, Taiwan
12 h-index
17 publications
690 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
8 h-index
15 publications
679 citations

National Taiwan University
Taipei, Taiwan
7 h-index
15 publications
1K citations
Ho Chi Minh City University of Technology
Ho Chi Minh City, Vietnam
7 h-index
9 publications
186 citations
Nanjing University
Nanjing, China
7 h-index
20 publications
856 citations

National Sun Yat-sen University
Kaohsiung City, Taiwan
7 h-index
8 publications
352 citations

Harbin Institute of Technology
Harbin, China
6 h-index
8 publications
247 citations
1–8 of 302
9 publications · 460 citations
9
h-index
9 publications · 274 citations
8
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Repository · 7 publications · 181 citations
7
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TKDE · 7 publications · 1K citations
7
h-index
7 publications · 233 citations
7
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