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» A Condensation Approach to Privacy Preserving Data Mining
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KDD
1998
ACM
129views Data Mining» more  KDD 1998»
14 years 1 months ago
Data Reduction Based on Hyper Relations
Data reduction makes datasets smaller but preserves classication structures of interest. It is an important area of research in data mining and databases. In this paper we present...
Hui Wang, Ivo Düntsch, David A. Bell
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
14 years 2 months ago
Hierarchy-Regularized Latent Semantic Indexing
Organizing textual documents into a hierarchical taxonomy is a common practice in knowledge management. Beside textual features, the hierarchical structure of directories reflect...
Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, V...
WMCSA
2008
IEEE
14 years 3 months ago
Location-based trust for mobile user-generated content: applications, challenges and implementations
The recent explosion in shared media content and sensed data produced by mobile end-users is challenging well-established principles and assumptions in data trust models. A fundam...
Vincent Lenders, Emmanouil Koukoumidis, Pei Zhang,...
CCS
2009
ACM
14 years 3 months ago
Privacy-preserving genomic computation through program specialization
In this paper, we present a new approach to performing important classes of genomic computations (e.g., search for homologous genes) that makes a significant step towards privacy...
Rui Wang, XiaoFeng Wang, Zhou Li, Haixu Tang, Mich...
KDD
1998
ACM
123views Data Mining» more  KDD 1998»
14 years 1 months ago
Scaling Clustering Algorithms to Large Databases
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Paul S. Bradley, Usama M. Fayyad, Cory Reina