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» Performance Measurements for Privacy Preserving Data Mining
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CCGRID
2010
IEEE
15 years 7 months ago
High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoff...
WWW
2006
ACM
16 years 6 months ago
Finding visual concepts by web image mining
We propose measuring "visualness" of concepts with images on the Web, that is, what extent concepts have visual characteristics. This is a new application of "Web i...
Keiji Yanai, Kobus Barnard
ICDE
2008
IEEE
118views Database» more  ICDE 2008»
16 years 7 months ago
k-Anonymization Revisited
In this paper we introduce new notions of k-type anonymizations. Those notions achieve similar privacy goals as those aimed by Sweenie and Samarati when proposing the concept of k-...
Aristides Gionis, Arnon Mazza, Tamir Tassa
WWW
2008
ACM
16 years 6 months ago
Substructure similarity measurement in chinese recipes
Improving the precision of information retrieval has been a challenging issue on Chinese Web. As exemplified by Chinese recipes on the Web, it is not easy/natural for people to us...
Liping Wang, Qing Li, Na Li, Guozhu Dong, Yu Yang
PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
16 years 20 days ago
Evaluation Measures for Multi-class Subgroup Discovery
Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. It has previously predominantly been...
Tarek Abudawood, Peter Flach