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RCIS
2010
13 years 6 months ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu
SCAM
2007
IEEE
14 years 2 months ago
A Framework for Studying Clones In Large Software Systems
Clones are code segments that have been created by copying-and-pasting from other code segments. Clones occur often in large software systems. It is reported that 5 to 50% of the ...
Zhen Ming Jiang, Ahmed E. Hassan
BMCBI
2008
182views more  BMCBI 2008»
13 years 8 months ago
MiMiR - an integrated platform for microarray data sharing, mining and analysis
Background: Despite considerable efforts within the microarray community for standardising data format, content and description, microarray technologies present major challenges i...
Chris Tomlinson, Manjula Thimma, Stelios Alexandra...
GECCO
2003
Springer
160views Optimization» more  GECCO 2003»
14 years 1 months ago
Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A comb...
Behrouz Minaei-Bidgoli, William F. Punch
NIPS
2007
13 years 9 months ago
The Tradeoffs of Large Scale Learning
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Léon Bottou, Olivier Bousquet