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» A Machine Learning Approach to Foreign Key Discovery
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WEBDB
2009
Springer
115views Database» more  WEBDB 2009»
12 years 6 months ago
A Machine Learning Approach to Foreign Key Discovery
We study the problem of automatically discovering semantic associations between schema elements, namely foreign keys. This problem is important in all applications where data sets...
Alexandra Rostin, Oliver Albrecht, Jana Bauckmann,...
PVLDB
2010
107views more  PVLDB 2010»
11 years 10 months ago
On Multi-Column Foreign Key Discovery
A foreign/primary key relationship between relational tables is one of the most important constraints in a database. From a data analysis perspective, discovering foreign keys is ...
Meihui Zhang, Marios Hadjieleftheriou, Beng Chin O...
KDD
1997
ACM
142views Data Mining» more  KDD 1997»
12 years 3 months ago
Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis
Wedescribehow specializeddatabasetechnology and data analysis methods were applied by the Swedish defense to help deal with the violation of Swedish marine territory by foreign su...
Ulla Bergsten, Johan Schubert, Per Svensson
MLDM
2009
Springer
12 years 6 months ago
Discretization of Target Attributes for Subgroup Discovery
Abstract. We describe an algorithm called TargetCluster for the discretization of continuous targets in subgroup discovery. The algorithm identifies patterns in the target data an...
Katherine Moreland, Klaus Truemper
IAT
2009
IEEE
12 years 6 months ago
An Intelligent Agent That Autonomously Learns How to Translate
—We describe the design of an autonomous agent that can teach itself how to translate from a foreign language, by first assembling its own training set, then using it to improve...
Marco Turchi, Tijl De Bie, Nello Cristianini
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