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166
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VAMOS
2010
Springer
15 years 8 months ago
Using Collaborations to Encapsulate Features? An Explorative Study
A feature is a program characteristic visible to an end-user. Current research strives to encapsulate the implementation of a feature in a module. Jak is a language extension to Ja...
Martin Kuhlemann, Norbert Siegmund, Sven Apel
186
Voted
SDM
2008
SIAM
136views Data Mining» more  SDM 2008»
15 years 8 months ago
Exploration and Reduction of the Feature Space by Hierarchical Clustering
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
Dino Ienco, Rosa Meo
210
Voted
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
15 years 8 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
205
Voted
CLEF
2010
Springer
15 years 8 months ago
Web Person Name Disambiguation by Relevance Weighting of Extended Feature Sets
Abstract. This paper describes our approach to the Person Name Disambiguation clustering task in the Third Web People Search Evaluation Campaign(WePS3). The method focuses on two a...
Chong Long, Lei Shi
217
Voted
JBI
2007
148views Bioinformatics» more  JBI 2007»
15 years 6 months ago
A method for linking computed image features to histological semantics in neuropathology
In medical image analysis, the image content is often represented by computed features that need to be interpreted at a clinical level of understanding to support lopment of clini...
Birgit Lessmann, Tim W. Nattkemper, V. H. Hans, An...