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» Performance Measurements for Privacy Preserving Data Mining
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CIKM
2009
Springer
16 years 21 days ago
Frequent subgraph pattern mining on uncertain graph data
Graph data are subject to uncertainties in many applications due to incompleteness and imprecision of data. Mining uncertain graph data is semantically different from and computat...
Zhaonian Zou, Jianzhong Li, Hong Gao, Shuo Zhang
CSSE
2006
IEEE
15 years 6 months ago
Experimental analysis of a privacy-preserving scalar product protocol
The recent investigation of privacy-preserving data mining has been motivated by the growing concern about the privacy of individuals when their data is stored, aggregated, and mi...
Zhiqiang Yang, Rebecca N. Wright, Hiranmayee Subra...
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
16 years 20 days ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...
ACSAC
2003
IEEE
15 years 11 months ago
Synthesizing Test Data for Fraud Detection Systems
This paper reports an experiment aimed at generating synthetic test data for fraud detection in an IP based videoon-demand service. The data generation verifies a methodology pre...
Emilie Lundin Barse, Håkan Kvarnström, ...
EDBT
2009
ACM
136views Database» more  EDBT 2009»
16 years 28 days ago
On the comparison of microdata disclosure control algorithms
Privacy models such as k-anonymity and -diversity typically offer an aggregate or scalar notion of the privacy property that holds collectively on the entire anonymized data set....
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...