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» A Condensation Approach to Privacy Preserving Data Mining
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ML
2010
ACM
193views Machine Learning» more  ML 2010»
13 years 3 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
14 years 9 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
DSS
2007
226views more  DSS 2007»
13 years 8 months ago
Dare to share: Protecting sensitive knowledge with data sanitization
chool of Business Research – FY 2007 Research Abstracts Dare to Share: Protecting Sensitive Knowledge with Data Sanitization Data sanitization is a process that is used to promot...
Ali Amiri
IDA
2011
Springer
13 years 3 months ago
Ubiquitous Knowledge Discovery
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
João Gama, Michael May
COLCOM
2009
IEEE
14 years 1 months ago
Toward synchronization between decentralized orchestrations of composite web services
—Web service paradigm and related technologies have provided favorable means for the realization of collaborative business processes. From both conceptual and implementation poin...
Walid Fdhila, Claude Godart