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» On Integrating Data Mining into Business Processes
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KDD
2003
ACM
214views Data Mining» more  KDD 2003»
14 years 9 months ago
Adaptive duplicate detection using learnable string similarity measures
The problem of identifying approximately duplicate records in databases is an essential step for data cleaning and data integration processes. Most existing approaches have relied...
Mikhail Bilenko, Raymond J. Mooney
DAWAK
2009
Springer
14 years 14 days ago
Visual Modelling of Data Warehousing Flows with UML Profiles
Data warehousing involves complex processes that transform source data through several stages to deliver suitable information ready to be analysed. Though many techniques for visua...
Jesús Pardillo, Matteo Golfarelli, Stefano ...
IV
2006
IEEE
149views Visualization» more  IV 2006»
14 years 2 months ago
Challenges in Visual Data Analysis
In today’s applications data is produced at unprecedented rates. While the capacity to collect and store new data rapidly grows, the ability to analyze these data volumes increa...
Daniel A. Keim, Florian Mansmann, Jörn Schnei...
ADBIS
2003
Springer
108views Database» more  ADBIS 2003»
14 years 1 months ago
Dynamic Integration of Classifiers in the Space of Principal Components
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen...
PRIB
2009
Springer
187views Bioinformatics» more  PRIB 2009»
14 years 1 months ago
Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics
Protein-protein interaction (PPI) identification is an integral component of many biomedical research and database curation tools. Automation of this task through classification ...
Tamara Polajnar, Mark A. Girolami