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DAWAK
2006
Springer
13 years 11 months ago
Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures
Abstract. Individual privacy will be at risk if a published data set is not properly de-identified. k-anonymity is a major technique to de-identify a data set. A more general view ...
Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu...
LCN
2006
IEEE
14 years 1 months ago
Cerco: Supporting Range Queries with a Hierarchically Structured Peer-to-Peer System
Structured Peer-to-Peer systems are designed for a highly scalable, self organizing, and efficient lookup for data. The key space of the so-called Distributed Hash Tables (DHTs) ...
Simon Rieche, Klaus Wehrle, Leo Petrak, Clemens Wr...
IPPS
1997
IEEE
13 years 11 months ago
Maintaining Spatial Data Sets in Distributed-Memory Machines
We propose a distributed data structure for maintaining spatial data sets on message-passing, distributed memory machines. The data structure is based on orthogonal bisection tree...
Susanne E. Hambrusch, Ashfaq A. Khokhar
IJDAR
2002
87views more  IJDAR 2002»
13 years 7 months ago
A hierarchical representation of form documents for identification and retrieval
Abstract. In this paper, we present a logical representation for form documents to be used for identification and retrieval. A hierarchical structure is proposed to represent the s...
Pinar Duygulu, Volkan Atalay
DMKD
2004
ACM
127views Data Mining» more  DMKD 2004»
14 years 1 months ago
Discovering spatial patterns accurately with effective noise removal
Cluster analysis is a common approach to pattern discovery in spatial databases. While many clustering techniques have been developed, it is still challenging to discover implicit...
Yu Qian, Kang Zhang