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» A Multi-Resolution Relational Data Model
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CAISE
2005
Springer
15 years 10 months ago
Integrating Unnormalised Semi-structured Data Sources
From Proc. CAiSE05 LNCS 3520, Pages 460-474 c Springer-Verlag 2005 Semi-structured data sources, such as XML, HTML or CSV files, present special problems when performing data int...
Sasivimol Kittivoravitkul, Peter McBrien
IKE
2010
15 years 2 months ago
Potential Application of Contextual Information Processing To Data Mining
Contextual processing is a new emerging field based on the notion that information surrounding an event lends new meaning to the interpretation of the event. Data mining is the pr...
Gregory Vert, Anitha Chennamaneni, S. Sitharama Iy...
BMCBI
2010
171views more  BMCBI 2010»
15 years 4 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
ICDM
2003
IEEE
210views Data Mining» more  ICDM 2003»
15 years 9 months ago
CBC: Clustering Based Text Classification Requiring Minimal Labeled Data
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu...
CONCURRENCY
2008
164views more  CONCURRENCY 2008»
15 years 4 months ago
Automatic capture and efficient storage of e-Science experiment provenance
ce that allows navigation from an abstract model of the experiment to instance data collected during a specific experiment run. We outline modest extensions to a commercial workflo...
Roger S. Barga, Luciano A. Digiampietri