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» The Process of Knowledge Discovery in Databases: A First Ske...
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ICDE
1996
IEEE
120views Database» more  ICDE 1996»
14 years 10 months ago
Towards the Reverse Engineering of Denormalized Relational Databases
This paper describes a method to cope with denormalized relational schemas in a database reverse engineering process. We propose two main steps to irnprove the understanding of da...
Jean-Marc Petit, Farouk Toumani, Jean-Franç...
PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
14 years 1 months ago
Querying Inductive Databases: A Case Study on the MINE RULE Operator
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Jean-François Boulicaut, Mika Klemettinen, ...
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
14 years 9 months ago
Automatic identification of quasi-experimental designs for discovering causal knowledge
Researchers in the social and behavioral sciences routinely rely on quasi-experimental designs to discover knowledge from large databases. Quasi-experimental designs (QEDs) exploi...
David D. Jensen, Andrew S. Fast, Brian J. Taylor, ...
CORR
2010
Springer
100views Education» more  CORR 2010»
13 years 4 months ago
Discovering Knowledge from Multi-modal Lecture Recordings
Educational media mining is the process of converting raw media data from educational systems to useful information that can be used to design learning systems, answer research qu...
Kannan Rajkumar, Christian Guetl
KDD
1994
ACM
96views Data Mining» more  KDD 1994»
14 years 1 months ago
DICE: A Discovery Environment Integrating Inductive Bias
: Most of Knowledge Discovery in Database (KDD) systems are integrating efficient Machine Learning techniques. In fact issues in Machine Learning and KDD are very close allowing fo...
Jean-Daniel Zucker, Vincent Corruble, J. Thomas, G...