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» An Extended Neural Gas Model for Efficient Data Mining Tasks
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FLAIRS
2007
13 years 7 months ago
An Extended Neural Gas Model for Efficient Data Mining Tasks
This paper presents a numerical association rule extraction method that is based on original quality measures which evaluate to what extent a numerical classification model behave...
Jean-Charles Lamirel, Shadi Al Shehabi
PVLDB
2010
146views more  PVLDB 2010»
12 years 11 months ago
HaLoop: Efficient Iterative Data Processing on Large Clusters
The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing pl...
Yingyi Bu, Bill Howe, Magdalena Balazinska, Michae...
DATAMINE
2006
130views more  DATAMINE 2006»
13 years 4 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...
ICDM
2006
IEEE
176views Data Mining» more  ICDM 2006»
13 years 10 months ago
Razor: mining distance-constrained embedded subtrees
Due to their capability for expressing semantics and relationships among data objects, semi-structured documents have become a common way of representing domain knowledge. Compari...
Henry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabe...
IDA
2006
Springer
13 years 4 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire