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» A Data Model for Data Integration
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HIS
2004
15 years 8 months ago
Hybrid Learning Scheme for Data Mining Applications
Classification of large datasets is a challenging task in Data Mining. In the current work, we propose a novel method that compresses the data and classifies the test data directl...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
ICDCSW
2007
IEEE
16 years 1 months ago
Modeling Data Consistency in Wireless Sensor Networks
— With the rapid growth of wireless sensor systems deployment, data quality has become a critical issue to the success of these applications. In this paper, we first raise the d...
Kewei Sha, Weisong Shi
ADBIS
2005
Springer
147views Database» more  ADBIS 2005»
16 years 7 days ago
Declarative Data Fusion - Syntax, Semantics, and Implementation
In today’s integrating information systems data fusion, i.e., the merging of multiple tuples about the same real-world object into a single tuple, is left to ETL tools and other ...
Jens Bleiholder, Felix Naumann
KDD
2008
ACM
213views Data Mining» more  KDD 2008»
16 years 7 months ago
Heterogeneous data fusion for alzheimer's disease study
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
BMCBI
2008
88views more  BMCBI 2008»
15 years 6 months ago
Data capture in bioinformatics: requirements and experiences with Pedro
Background: The systematic capture of appropriately annotated experimental data is a prerequisite for most bioinformatics analyses. Data capture is required not only for submissio...
Daniel Jameson, Kevin L. Garwood, Christopher Garw...