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ECML
2006
Springer
15 years 3 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
14 years 11 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»
14 years 11 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»
14 years 11 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
15 years 5 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...