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AUSDM
2007
Springer
165views Data Mining» more  AUSDM 2007»
15 years 10 months ago
A New Efficient Privacy-Preserving Scalar Product Protocol
Recently, privacy issues have become important in data analysis, especially when data is horizontally partitioned over several parties. In data mining, the data is typically repre...
Artak Amirbekyan, Vladimir Estivill-Castro
BIBE
2004
IEEE
156views Bioinformatics» more  BIBE 2004»
15 years 10 months ago
GeneWebEx: Gene Annotation Web Extraction, Aggregation, and Updating from Web-Based Biomolecular Databanks
Numerous genomic annotations are currently stored in different web-accessible databanks that scientists need to mine with user-defined queries and in a batch mode to orderly integ...
Marco Masseroli, Andrea Stella, Natalia Meani, Myr...
KAIS
2000
86views more  KAIS 2000»
15 years 6 months ago
A Mathematical Foundation for Improved Reduct Generation in Information Systems
When data sets are analyzed, statistical pattern recognition is often used to find the information hidden in the data. Another approach to information discovery is data mining. Dat...
Janusz A. Starzyk, Dale E. Nelson, Kirk Sturtz
ICDM
2010
IEEE
160views Data Mining» more  ICDM 2010»
15 years 4 months ago
A Privacy Preserving Framework for Gaussian Mixture Models
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...
Madhusudana Shashanka
177
Voted
ICML
2009
IEEE
16 years 7 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji