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» Data Mining Methodological Weaknesses and Suggested Fixes
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BMCBI
2006
106views more  BMCBI 2006»
13 years 6 months ago
Methodological study of affine transformations of gene expression data with proposed robust non-parametric multi-dimensional nor
Background: Low-level processing and normalization of microarray data are most important steps in microarray analysis, which have profound impact on downstream analysis. Multiple ...
Henrik Bengtsson, Ola Hössjer
ICSM
1998
IEEE
13 years 10 months ago
Identification of Data Cohesive Subsystems Using Data Mining Techniques
The activity of reengineering and maintaining large legacy systems involves the use of design recovery es to produce abstractions that facilitate the understanding of the system. ...
Carlos Montes de Oca, Doris L. Carver
CIDM
2007
IEEE
14 years 19 days ago
Data Mining of MISR Aerosol Product using Spatial Statistics
— In climate models, aerosol forcing is the major source of uncertainty in climate forcing, over the industrial period. To reduce this uncertainty, instruments on satellites have...
Tao Shi, Noel Cressie
ESWA
2002
134views more  ESWA 2002»
13 years 6 months ago
A personalized recommender system based on web usage mining and decision tree induction
A personalized product recommendation is an enabling mechanism to overcome information overload occurred when shopping in an Internet marketplace. Collaborative filtering has been...
Yoon Ho Cho, Jae Kyeong Kim, Soung Hie Kim
KDD
2001
ACM
150views Data Mining» more  KDD 2001»
14 years 6 months ago
Empirical bayes screening for multi-item associations
This paper considers the framework of the so-called "market basket problem", in which a database of transactions is mined for the occurrence of unusually frequent item s...
William DuMouchel, Daryl Pregibon