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CIBCB
2009
IEEE
13 years 11 months ago
A framework for the application of decision trees to the analysis of SNPs data
Data mining is the analysis of experimental datasets to extract trends and relationships that can be meaningful for the user. In genetic studies these techniques have revealed inte...
Linda Fiaschi, Jonathan M. Garibaldi, Natalio Kras...
CIS
2005
Springer
14 years 3 months ago
An Improved EMASK Algorithm for Privacy-Preserving Frequent Pattern Mining
Abstract. As a novel research direction, privacy-preserving data mining (PPDM) has received a great deal of attentions from more and more researchers, and a large number of PPDM al...
Congfu Xu, Jinlong Wang, Hongwei Dan, Yunhe Pan
AIED
2007
Springer
14 years 4 months ago
Investigating Generative Factors of Score Matrices
An implicit assumption in psychometrics and educational statistics is that the generative model for student scores on test questions is governed by the topics of those questions an...
Titus Winters, Christian R. Shelton, Tom Payne
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
14 years 3 months ago
Discovering Frequent Arrangements of Temporal Intervals
In this paper we study a new problem in temporal pattern mining: discovering frequent arrangements of temporal intervals. We assume that the database consists of sequences of even...
Panagiotis Papapetrou, George Kollios, Stan Sclaro...
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
13 years 11 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen