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» Using Data Mining in MURA Graphic Problems
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KDD
2004
ACM
161views Data Mining» more  KDD 2004»
15 years 8 months ago
ANN quality diagnostic models for packaging manufacturing: an industrial data mining case study
World steel trade becomes more competitive every day and new high international quality standards and productivity levels can only be achieved by applying the latest computational...
Nicolás de Abajo, Alberto B. Diez, Vanesa L...
KDD
2006
ACM
128views Data Mining» more  KDD 2006»
16 years 3 months ago
On privacy preservation against adversarial data mining
Privacy preserving data processing has become an important topic recently because of advances in hardware technology which have lead to widespread proliferation of demographic and...
Charu C. Aggarwal, Jian Pei, Bo Zhang 0002
113
Voted
KDD
2004
ACM
211views Data Mining» more  KDD 2004»
16 years 3 months ago
Towards parameter-free data mining
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) R...
DATAMINE
2006
130views more  DATAMINE 2006»
15 years 3 months ago
Mining Adaptive Ratio Rules from Distributed Data Sources
Different from traditional association-rule mining, a new paradigm called Ratio Rule (RR) was proposed recently. Ratio rules are aimed at capturing the quantitative association kno...
Jun Yan, Ning Liu, Qiang Yang, Benyu Zhang, QianSh...
126
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FGCS
2007
160views more  FGCS 2007»
15 years 3 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He