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» Embedding Heterogeneous Data Using Statistical Models
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EDBT
2008
ACM
194views Database» more  EDBT 2008»
16 years 2 months ago
XCraft: boosting the performance of active XML materialization
An active XML (AXML) document contains tags representing calls to Web services. Therefore, retrieving its contents consists in materializing its data elements by invoking the embe...
Gabriela Ruberg, Marta Mattoso
SAC
2010
ACM
14 years 9 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
108
Voted
ICASSP
2009
IEEE
15 years 9 months ago
Spatio-temporal adaptive detector in non-homogeneous and low-rank clutter
Reducing the number of secondary data used to estimate the Clutter Covariance Matrix (CCM) for Space Time Adaptive Processing (STAP) techniques is still an active research topic. ...
Guillaume Ginolhac, Philippe Forster, Jean Philipp...
117
Voted
JCP
2006
74views more  JCP 2006»
15 years 2 months ago
Local Boosting of Decision Stumps for Regression and Classification Problems
Numerous data mining problems involve an investigation of associations between features in heterogeneous datasets, where different prediction models can be more suitable for differ...
Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Pan...
JUCS
2008
196views more  JUCS 2008»
15 years 2 months ago
Information Integration for the Masses
Abstract: Information integration applications combine data from heterogeneous sources to assist the user in solving repetitive data-intensive tasks. Currently, such applications r...
Jim Blythe, Dipsy Kapoor, Craig A. Knoblock, Krist...