Please use this identifier to cite or link to this item:
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Title: | A Framework for Categorizing and Applying Privacy-Preservation Techniques in Big Data Mining |
Authors: | Lei Xu;Chunxiao Jiang;Yan Chen;Jian Wang;Yong Ren |
subject: | game theory|big data management|sensitive information|provenance|privacy|data mining|information security|information privacy|big data |
Year: | 2016 |
Publisher: | IEEE |
Abstract: | To protect sensitive information in mined data, researchers need a way to organize a variety of ongoing work. The Rampart framework categorizes protection approaches and encourages interdisciplinary solutions to the growing variety of privacy problems associated with knowledge discovery from data. |
Description: | |
URI: | http://localhost/handle/Hannan/162398 http://localhost/handle/Hannan/626814 |
ISSN: | 0018-9162 |
volume: | 49 |
issue: | 2 |
Appears in Collections: | 2016 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
7404188.pdf | 1.15 MB | Adobe PDF | ![]() Preview File |
Title: | A Framework for Categorizing and Applying Privacy-Preservation Techniques in Big Data Mining |
Authors: | Lei Xu;Chunxiao Jiang;Yan Chen;Jian Wang;Yong Ren |
subject: | game theory|big data management|sensitive information|provenance|privacy|data mining|information security|information privacy|big data |
Year: | 2016 |
Publisher: | IEEE |
Abstract: | To protect sensitive information in mined data, researchers need a way to organize a variety of ongoing work. The Rampart framework categorizes protection approaches and encourages interdisciplinary solutions to the growing variety of privacy problems associated with knowledge discovery from data. |
Description: | |
URI: | http://localhost/handle/Hannan/162398 http://localhost/handle/Hannan/626814 |
ISSN: | 0018-9162 |
volume: | 49 |
issue: | 2 |
Appears in Collections: | 2016 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
7404188.pdf | 1.15 MB | Adobe PDF | ![]() Preview File |
Title: | A Framework for Categorizing and Applying Privacy-Preservation Techniques in Big Data Mining |
Authors: | Lei Xu;Chunxiao Jiang;Yan Chen;Jian Wang;Yong Ren |
subject: | game theory|big data management|sensitive information|provenance|privacy|data mining|information security|information privacy|big data |
Year: | 2016 |
Publisher: | IEEE |
Abstract: | To protect sensitive information in mined data, researchers need a way to organize a variety of ongoing work. The Rampart framework categorizes protection approaches and encourages interdisciplinary solutions to the growing variety of privacy problems associated with knowledge discovery from data. |
Description: | |
URI: | http://localhost/handle/Hannan/162398 http://localhost/handle/Hannan/626814 |
ISSN: | 0018-9162 |
volume: | 49 |
issue: | 2 |
Appears in Collections: | 2016 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
7404188.pdf | 1.15 MB | Adobe PDF | ![]() Preview File |