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» Mining Several Data Bases with an Ensemble of Classifiers
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KDD
2003
ACM
114views Data Mining» more  KDD 2003»
14 years 8 months ago
Information awareness: a prospective technical assessment
Recent proposals to apply data mining systems to problems in law enforcement, national security, and fraud detection have attracted both media attention and technical critiques of...
David Jensen, Matthew J. Rattigan, Hannah Blau
JMLR
2006
135views more  JMLR 2006»
13 years 7 months ago
Statistical Comparisons of Classifiers over Multiple Data Sets
While methods for comparing two learning algorithms on a single data set have been scrutinized for quite some time already, the issue of statistical tests for comparisons of more ...
Janez Demsar
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 2 months ago
Set-Based Boosting for Instance-Level Transfer
—The success of transfer to improve learning on a target task is highly dependent on the selected source data. Instance-based transfer methods reuse data from the source tasks to...
Eric Eaton, Marie desJardins
SUM
2007
Springer
14 years 1 months ago
Managing Uncertainty in Schema Matcher Ensembles
Schema matching is the task of matching between concepts describing the meaning of data in various heterogeneous, distributed data sources. With many heuristics to choose from, sev...
Anan Marie, Avigdor Gal
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 8 months ago
Mining relational data through correlation-based multiple view validation
Commercial relational databases currently store vast amounts of real-world data. The data within these relational repositories are represented by multiple relations, which are int...
Hongyu Guo, Herna L. Viktor