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» An ICA algorithm for analyzing multiple data sets
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SDM
2003
SIAM
110views Data Mining» more  SDM 2003»
13 years 10 months ago
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
Jaakko Hollmén, Jouni K. Seppänen, Hei...
IDA
2009
Springer
13 years 6 months ago
Estimating Hidden Influences in Metabolic and Gene Regulatory Networks
We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory net...
Florian Blöchl, Fabian J. Theis
JSS
2008
157views more  JSS 2008»
13 years 9 months ago
Can k-NN imputation improve the performance of C4.5 with small software project data sets? A comparative evaluation
Missing data is a widespread problem that can affect the ability to use data to construct effective prediction systems. We investigate a common machine learning technique that can...
Qinbao Song, Martin J. Shepperd, Xiangru Chen, Jun...
ICDM
2009
IEEE
134views Data Mining» more  ICDM 2009»
13 years 6 months ago
Efficient Discovery of Confounders in Large Data Sets
Given a large transaction database, association analysis is concerned with efficiently finding strongly related objects. Unlike traditional associate analysis, where relationships ...
Wenjun Zhou, Hui Xiong
SAC
2005
ACM
14 years 2 months ago
The container loading problem
This paper addresses single and multiple container loading problems. We propose to use dynamic prioritization to handle awkward box types. The box type with a higher priority will...
Andrew Lim, Xingwen Zhang