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K-Anonymity technique is a useful way to protect privacy in information sharing. This paper presents a practical framework for implementing one type of k-anonymization, based on which a greedy algorithm named Nibble for producing approximately minimal generalizations is introduced. Experiments show that Nibble often reflects the multivariate distribution of the microdata more faithfully than the multidimensional...
Symbolic model order reduction (SMOR) is to reduce the complexity of a model with symbolic parameters. It is an important problem in analog circuit synthesis and digital circuit modeling with process variations. However, existing symbolic model order reduction (SMOR) methods do not scale well with the number of symbols or with the model order. This paper presents a scalable SMOR algorithm, namely...
Dominance-based Rough Set Approach (DRSA) is an extension of classical Rough Set Theory (RST) to deal with inconsistent problems. Approximation of class unions is the key method of DRSA and it is a very complex computing job. However, the formal work within DRSA only proposed relative definitions of the concept including approximation of class unions, but no efficient algorithm has been given. So...
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