Pattern-Guided Data Anonymization and Clustering-Reference-Cited by-同舟云学术

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Pattern-Guided Data Anonymization and Clustering

Published:2011 Issue: Volume: Page:182-193
ISSN:0302-9743
Container-title:Mathematical Foundations of Computer Science 2011
language:
Short-container-title:

Author:

Bredereck Robert,Nichterlein André,Niedermeier Rolf,Philip Geevarghese

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-22993-0_19.pdf

Reference14 articles.

1. Aggarwal, G., Feder, T., Kenthapadi, K., Khuller, S., Panigrahy, R., Thomas, D., Zhu, A.: Achieving anonymity via clustering. ACM Trans. Algorithms 6(3), 1–19 (2010)

2. Lecture Notes in Computer Science;J. Blocki,2010

3. Lecture Notes in Computer Science;H.L. Bodlaender,2009

4. Bodlaender, H.L., Thomassé, S., Yeo, A.: Analysis of data reduction: Transformations give evidence for non-existence of polynomial kernels. Technical Report UU-CS-2008-030, Department of Information and Computing Sciences, Utrecht University (2008)

5. LNCS;R. Bredereck,2011

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Thel-Diversity problem: Tractability and approximability;Theoretical Computer Science;2013-11

2. Pattern-Guided k-Anonymity;Algorithms;2013-10-17

3. Pattern-Guided k-Anonymity;Frontiers in Algorithmics and Algorithmic Aspects in Information and Management;2013

4. The effect of homogeneity on the computational complexity of combinatorial data anonymization;Data Mining and Knowledge Discovery;2012-10-13

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