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JODS
2008
123views Data Mining» more  JODS 2008»
13 years 8 months ago
A Fine-Grained Approach to Resolving Unsatisfiable Ontologies
The ability to deal with inconsistencies and to evaluate the impact of possible solutions for resolving inconsistencies are of the utmost importance in real world ontology applicat...
Joey Sik Chun Lam, Derek H. Sleeman, Jeff Z. Pan, ...
JODS
2008
424views Data Mining» more  JODS 2008»
13 years 8 months ago
Semantically Processing Parallel Colour Descriptions
Information integration and retrieval are useful tasks in many information systems. In these systems, it is far from an easy task to directly integrate information from natural lan...
Shenghui Wang, Jeff Z. Pan
JODS
2008
123views Data Mining» more  JODS 2008»
13 years 8 months ago
The Harmony Integration Workbench
A key aspect of any data integration endeavor is determining the relationships between the source schemata and the target schema. This schema integration task must be tackled regar...
Peter Mork, Len Seligman, Arnon Rosenthal, Joel Ko...
JODS
2008
76views Data Mining» more  JODS 2008»
13 years 8 months ago
Exploring the Semantic Web as Background Knowledge for Ontology Matching
In this paper we propose an ontology matching paradigm based on the idea of harvesting the Semantic Web, i.e., automatically finding and exploring multiple and heterogeneous online...
Marta Sabou, Mathieu d'Aquin, Enrico Motta
CORR
2007
Springer
170views Education» more  CORR 2007»
13 years 8 months ago
The structure of verbal sequences analyzed with unsupervised learning techniques
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
Catherine Recanati, Nicoleta Rogovschi, Youn&egrav...
CORR
2007
Springer
151views Education» more  CORR 2007»
13 years 8 months ago
Decision tree modeling with relational views
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to appl...
Fadila Bentayeb, Jérôme Darmont
IJSI
2008
156views more  IJSI 2008»
13 years 8 months ago
Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
Mohamed Farouk Abdel Hady, Friedhelm Schwenker
IJSI
2008
122views more  IJSI 2008»
13 years 8 months ago
Mining Gene Expression Data using Domain Knowledge
Biology is now an information-intensive science and various research areas, like molecular biology, evolutionary biology or environmental biology, heavily depend on the availabilit...
Nicolas Pasquier, Claude Pasquier, Laurent Brisson...
IJIIDS
2008
201views more  IJIIDS 2008»
13 years 8 months ago
MALEF: Framework for distributed machine learning and data mining
: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek, S...
ESWA
2006
161views more  ESWA 2006»
13 years 8 months ago
Automated trend analysis of proteomics data using an intelligent data mining architecture
Proteomics is a field dedicated to the analysis and identification of proteins within an organism. Within proteomics, two-dimensional electrophoresis (2-DE) is currently unrivalle...
James Malone, Kenneth McGarry, Chris Bowerman