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SSDBM
2007
IEEE
105views Database» more  SSDBM 2007»
16 years 1 months ago
Maintaining K-Anonymity against Incremental Updates
K-anonymity is a simple yet practical mechanism to protect privacy against attacks of re-identifying individuals by joining multiple public data sources. All existing methods achi...
Jian Pei, Jian Xu, Zhibin Wang, Wei Wang 0009, Ke ...
IV
2007
IEEE
158views Visualization» more  IV 2007»
16 years 1 months ago
Applying Animation to the Visual Analysis of Financial Time-Dependent Data
For decades, financial analysts have strived to use modern data visualization tools to improve the timeliness and quality of their analysis. As the amount of data to be processed ...
Tatiana Tekusova, Jörn Kohlhammer
ICDE
2008
IEEE
150views Database» more  ICDE 2008»
16 years 8 months ago
On the Anonymization of Sparse High-Dimensional Data
Abstract-- Existing research on privacy-preserving data publishing focuses on relational data: in this context, the objective is to enforce privacy-preserving paradigms, such as ka...
Gabriel Ghinita, Yufei Tao, Panos Kalnis
SSDBM
2007
IEEE
172views Database» more  SSDBM 2007»
16 years 1 months ago
Enabling Real-Time Querying of Live and Historical Stream Data
Applications that query data streams in order to identify trends, patterns, or anomalies can often benefit from comparing the live stream data with archived historical stream dat...
Frederick Reiss, Kurt Stockinger, Kesheng Wu, Arie...
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
16 years 7 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li