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» An Overview of Database Mining Techniques
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ACSC
2008
IEEE
13 years 10 months ago
An efficient hash-based algorithm for minimal k-anonymity
A number of organizations publish microdata for purposes such as public health and demographic research. Although attributes of microdata that clearly identify individuals, such a...
Xiaoxun Sun, Min Li, Hua Wang, Ashley W. Plank
SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
14 years 8 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
VLDB
2007
ACM
295views Database» more  VLDB 2007»
14 years 2 months ago
From Data Privacy to Location Privacy: Models and Algorithms
This tutorial presents the definition, the models and the techniques of location privacy from the data privacy perspective. By reviewing and revising the state of art research in ...
Ling Liu
KDD
2009
ACM
133views Data Mining» more  KDD 2009»
14 years 8 months ago
On the tradeoff between privacy and utility in data publishing
In data publishing, anonymization techniques such as generalization and bucketization have been designed to provide privacy protection. In the meanwhile, they reduce the utility o...
Tiancheng Li, Ninghui Li
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
14 years 8 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...