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IPPS
2003
IEEE
14 years 20 days ago
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
Xiaogang Li, Ruoming Jin, Gagan Agrawal
KAIS
2008
99views more  KAIS 2008»
13 years 7 months ago
Privacy-preserving SVM classification
Classical data mining algorithms implicitly assume complete access to all data, either in centralized or federated form. However, privacy and security concerns often prevent sharin...
Jaideep Vaidya, Hwanjo Yu, Xiaoqian Jiang
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 8 months ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny
IPPS
2006
IEEE
14 years 1 months ago
Supporting self-adaptation in streaming data mining applications
There are many application classes where the users are flexible with respect to the output quality. At the same time, there are other constraints, such as the need for real-time ...
Liang Chen, Gagan Agrawal
IPPS
1998
IEEE
13 years 11 months ago
High Performance Data Mining Using Data Cubes on Parallel Computers
On-Line Analytical Processing techniques are used for data analysis and decision support systems. The multidimensionality of the underlying data is well represented by multidimens...
Sanjay Goil, Alok N. Choudhary