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PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
14 years 2 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, ...
ICDE
2007
IEEE
179views Database» more  ICDE 2007»
14 years 4 months ago
A New ILP-based Concept Discovery Method for Business Intelligence
In this work, we propose a multi-relational concept discovery method for business intelligence applications. Multi-relational data mining finds interesting patterns that span ove...
Seda Daglar Toprak, Pinar Senkul, Yusuf Kavurucu, ...
KDD
1994
ACM
96views Data Mining» more  KDD 1994»
14 years 2 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...
GIS
2000
ACM
13 years 10 months ago
A conceptual framework for incorporating cognitive principles into geographical database representation
The advancement of GIS data models to allow the eOEective utilization of very large heterogeneous geographic databases requires a new approach that incorporates models of human cog...
Jeremy L. Mennis, Donna Peuquet, Liujian Qian
IKE
2004
13 years 11 months ago
Integration of Domain-Specific and Domain-Independent Ontologies for Colonoscopy Video Database Annotation
Flexible and effective indexing of video data so as to render it useful in automated inference and datadriven knowledge acquisition is a key problem in knowledge engineering. In t...
Jie Bao, Yu Cao, Wallapak Tavanapong, Vasant Honav...