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» Computing LTS Regression for Large Data Sets
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VISUALIZATION
1993
IEEE
14 years 1 months ago
GRASPARC: A Problem Solving Environment Integrating Computation and Visualization
Visualization has proved an e ective tool in the understanding of large data sets in computational science and engineering. There is growing interest today in the development of p...
Ken Brodlie, A. Poon, Helen Wright, L. Brankin, G....
GRC
2008
IEEE
13 years 10 months ago
Towards Real-time Performance of Data Value Hiding for Frequent Data Updates
Hiding data values in privacy-preserving data mining (PPDM) protects information against unauthorized attacks while maintaining analytical data properties. The most popular models...
Jie Wang, Justin Zhan, Jun Zhang
CINQ
2004
Springer
131views Database» more  CINQ 2004»
14 years 2 months ago
Model-Independent Bounding of the Supports of Boolean Formulae in Binary Data
Abstract. Data mining algorithms such as the Apriori method for finding frequent sets in sparse binary data can be used for efficient computation of a large number of summaries fr...
Artur Bykowski, Jouni K. Seppänen, Jaakko Hol...
PLDI
1997
ACM
14 years 1 months ago
Componential Set-Based Analysis
Set-based analysis is a constraint-based whole program analysis that is applicable to functional and objectoriented programming languages. Unfortunately, the analysis is useless f...
Cormac Flanagan, Matthias Felleisen
KDD
2004
ACM
179views Data Mining» more  KDD 2004»
14 years 9 months ago
1-dimensional splines as building blocks for improving accuracy of risk outcomes models
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
David S. Vogel, Morgan C. Wang