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» Attribute based data sharing with attribute revocation
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ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
15 years 3 months ago
Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen
IDA
2009
Springer
14 years 7 months ago
Context-Based Distance Learning for Categorical Data Clustering
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
Dino Ienco, Ruggero G. Pensa, Rosa Meo
KAIS
2008
99views more  KAIS 2008»
14 years 9 months ago
Privacy-preserving SVM classification
Classical data mining algorithms implicitly assume complete access to all data, either in centralized or federated form. However, privacy and security concerns often prevent sharin...
Jaideep Vaidya, Hwanjo Yu, Xiaoqian Jiang
CCS
2006
ACM
15 years 1 months ago
Attribute-based encryption for fine-grained access control of encrypted data
As more sensitive data is shared and stored by third-party sites on the Internet, there will be a need to encrypt data stored at these sites. One drawback of encrypting data, is t...
Vipul Goyal, Omkant Pandey, Amit Sahai, Brent Wate...
AUSAI
2005
Springer
15 years 3 months ago
Fuzzy Attribute Implications: Computing Non-redundant Bases Using Maximal Independent Sets
Abstract. This note describes a method for computation of non-redundant bases of attribute implications from data tables with fuzzy attributes. Attribute implications are formulas ...
Radim Belohlávek, Vilém Vychodil