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KDD
2009
ACM
269views Data Mining» more  KDD 2009»
14 years 8 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
KDD
2005
ACM
125views Data Mining» more  KDD 2005»
14 years 8 months ago
Email data cleaning
Addressed in this paper is the issue of `email data cleaning' for text mining. Many text mining applications need take emails as input. Email data is usually noisy and thus i...
Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang
KCAP
2005
ACM
14 years 1 months ago
An ontological approach to the construction of problem-solving models
Our ongoing work aims at defining an ontology-centered approach for building expertise models for the CommonKADS methodology. This approach (which is named "OntoKADS") i...
Sabine Bruaux, Gilles Kassel, Gilles Morel
ARITH
1999
IEEE
14 years 18 days ago
Correctness Proofs Outline for Newton-Raphson Based Floating-Point Divide and Square Root Algorithms
This paper describes a study of a class of algorithms for the floating-point divide and square root operations, based on the Newton-Raphson iterative method. The two main goals we...
Marius A. Cornea-Hasegan, Roger A. Golliver, Peter...
BMCBI
2010
138views more  BMCBI 2010»
13 years 8 months ago
UFFizi: a generic platform for ranking informative features
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
Assaf Gottlieb, Roy Varshavsky, Michal Linial, Dav...