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ECML
2006
Springer
13 years 11 months ago
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Bojun Yan, Carlotta Domeniconi
SOFTWARE
2002
13 years 7 months ago
Temporal Probabilistic Concepts from Heterogeneous Data Sequences
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
Sally I. McClean, Bryan W. Scotney, Fiona Palmer
PVLDB
2008
130views more  PVLDB 2008»
13 years 7 months ago
Analyzing and revising data integration schemas to improve their matchability
Data integration systems often provide a uniform query interface, called a mediated schema, to a multitude of data sources. To answer user queries, such systems employ a set of se...
Xiaoyong Chai, Mayssam Sayyadian, AnHai Doan, Arno...
BMCBI
2008
102views more  BMCBI 2008»
13 years 7 months ago
Improving protein function prediction methods with integrated literature data
Background: Determining the function of uncharacterized proteins is a major challenge in the post-genomic era due to the problem's complexity and scale. Identifying a protein...
Aaron Gabow, Sonia M. Leach, William A. Baumgartne...
DSVIS
2005
Springer
14 years 1 months ago
Mapping ConcurTaskTrees into UML 2.0
Abstract. The ConcurTaskTrees (CTT) is one of the most widely used notations for task modeling, specifically tailored for user interface model-based design. The integration of CTT ...
Leonel Nóbrega, Nuno Jardim Nunes, Helder C...