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» Using Data Mining for Wine Quality Assessment
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125
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PAKDD
2009
ACM
96views Data Mining» more  PAKDD 2009»
15 years 10 months ago
Aggregated Subset Mining
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
Albrecht Zimmermann, Björn Bringmann
132
Voted
BMCBI
2010
125views more  BMCBI 2010»
15 years 3 months ago
Visualisation tool for peptide fractionation data in proteomics: application to OFFGEL isoelectric focussing
Background: OFFGEL isoelectric focussing (IEF) has become a popular tool in proteomics to fractionate peptides or proteins. As a consequence there is a need for software solutions...
David-Olivier D. Azulay, Hendrik Neubert, Mireia F...
126
Voted
AUSDM
2006
Springer
100views Data Mining» more  AUSDM 2006»
15 years 7 months ago
Data Mining Methodological Weaknesses and Suggested Fixes
Predictive accuracy claims should give explicit descriptions of the steps followed, with access to the code used. This allows referees and readers to check for common traps, and t...
John H. Maindonald
129
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IIE
2008
98views more  IIE 2008»
15 years 3 months ago
Data Mining Application in Higher Learning Institutions
One of the biggest challenges that higher learning institutions face today is to improve the quality of managerial decisions. The managerial decision making process becomes more co...
Naeimeh Delavari, Somnuk Phon-Amnuaisuk, M. Reza B...
248
Voted
ICDE
2007
IEEE
162views Database» more  ICDE 2007»
16 years 5 months ago
On Density Based Transforms for Uncertain Data Mining
In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many ...
Charu C. Aggarwal