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PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
15 years 10 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»
16 years 8 days 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»
15 years 10 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
15 years 5 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
15 years 7 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...