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150
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CORR
2010
Springer
173views Education» more  CORR 2010»
15 years 1 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat
151
Voted
HICSS
2003
IEEE
123views Biometrics» more  HICSS 2003»
15 years 9 months ago
A Two-Level Approach to Making Class Predictions
In this paper we propose a new two-level methodology for assessing countries’/companies’ economic/financial performance. The methodology is based on two major techniques of gr...
Adrian Costea, Tomas Eklund
JMLR
2008
168views more  JMLR 2008»
15 years 3 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
154
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BMCBI
2006
101views more  BMCBI 2006»
15 years 3 months ago
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...
Tim Van den Bulcke, Koen Van Leemput, Bart Naudts,...
148
Voted
ICSM
2007
IEEE
15 years 10 months ago
System-level Usage Dependency Analysis of Object-Oriented Systems
Uncovering, modelling, and understanding architectural level dependencies of software systems is a key task for software maintainers. However, current dependency analysis techniqu...
Xinyi Dong, Michael W. Godfrey