Privacy-preserving Data Mining
Privacy-Preserving Data Mining is a computational methodology within data mining that integrates techniques to protect individual data privacy while enabling the extraction of meaningful patterns and knowledge from datasets.
951
Publications
65.7K
Citations
2K
Authors
767
Institutions
Publications per year
2017–2026
268
951
Privacy-preserving data mining
Rakesh Agrawal, Ramakrishnan Srikant · ACM SIGMOD Record · 2000 · 3K citations
Xindong Wu, Xingquan Zhu, Gongqing Wu et al. · IEEE Transactions on Knowledge and Data Engineering · 2013 · 2.4K citations
Privacy-preserving data mining
Rakesh Agrawal, Ramakrishnan Srikant · 2000 · 1.7K citations
Data Mining Concepts and Techniques Third Edition
Jiawei Han, Micheline Kamber, Jian Pei · 2021 · 1.2K citations
1–5 of 951
2K
25
h-index
Rutgers, The State University of New Jersey, United States
17 publications · 4.2K citations
17
h-index
Western Norway University of Applied Sciences, Norway
19 publications · 730 citations
16
h-index
15
h-index
13
h-index
1–5 of 2K
767
Purdue University West Lafayette
West Lafayette, United States
38 h-index
92 publications
19K citations

Harbin Institute of Technology
Harbin, China
17 h-index
51 publications
2K citations
IBM (United States)
Armonk, United States
15 h-index
28 publications
8K citations

Anna University, Chennai
Chennai, India
13 h-index
20 publications
560 citations
Simon Fraser University
Burnaby, Canada
13 h-index
25 publications
2.8K citations
The University of Texas at Dallas
Richardson, United States
12 h-index
20 publications
1.4K citations

Xidian University
Xi'an, China
11 h-index
35 publications
1.4K citations

Stevens Institute of Technology
Hoboken, United States
11 h-index
21 publications
2.8K citations
1–8 of 767
TKDE · 18 publications · 5.2K citations
17
h-index
19 publications · 1.5K citations
15
h-index
14 publications · 705 citations
13
h-index
DKE · 12 publications · 539 citations
11
h-index
11 publications · 424 citations
11
h-index
1–5