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» Applying a Data Miner To Heterogeneous Schema Integration
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SDM
2009
SIAM
215views Data Mining» more  SDM 2009»
14 years 6 months ago
Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets.
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...
Bart De Moor, Frizo A. L. Janssens, Shi Yu, Wolfga...
BMCBI
2006
202views more  BMCBI 2006»
13 years 9 months ago
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
David J. Reiss, Nitin S. Baliga, Richard Bonneau
VLDB
2007
ACM
104views Database» more  VLDB 2007»
14 years 9 months ago
Inverse Functions in the AquaLogic Data Services Platform
When integrating data from heterogeneous sources, it is often necessary to transform both the schemas and the data from the underlying sources in order to present the integrated d...
Nicola Onose, Vinayak R. Borkar, Michael J. Carey
ICIS
2004
13 years 10 months ago
Reconciling Attribute Values from Multiple Data Sources
Because of the heterogeneous nature of multiple data sources, data integration is often one of the most challenging tasks of today's information systems. While the existing l...
Zhengrui Jiang, Sumit Sarkar, Prabuddha De, Debabr...
WWW
2005
ACM
14 years 9 months ago
A publish and subscribe collaboration architecture for web-based information
Markup languages, representations, schemas, and tools have significantly increased the ability for organizations to share their information. Languages, such as the Extensible Mark...
M. Brian Blake, David H. Fado, Gregory A. Mack