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IADIS
2008
13 years 11 months ago
Aggregation in Confidence-Based Concept Discovery for Multi-Relational Data Mining
Multi-relational data mining has become popular due to the limitations of propositional problem definition in structured domains and the tendency of storing data in relational dat...
Yusuf Kavurucu, Pinar Senkul, Ismail Hakki Toroslu
ACM
1995
14 years 1 months ago
Rough Sets
We study properties of rough sets, that is, approximations to sets of records in a database or, more formally, to subsets of the universe of an information system. A rough set is a...
Zdzislaw Pawlak
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
14 years 10 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
DEXAW
2007
IEEE
153views Database» more  DEXAW 2007»
14 years 4 months ago
Enhancing Ontology Concept Design by Knowledge Discovery
In this paper, we propose a knowledge discovery-based approach to ontology concept design. In our approach, concept design is a stepwise activity which exploits ontology matching ...
Silvana Castano, Alfio Ferrara
SIGMOD
2008
ACM
86views Database» more  SIGMOD 2008»
13 years 9 months ago
The YAGO-NAGA approach to knowledge discovery
This paper gives an overview on the YAGO-NAGA approach to information extraction for building a conveniently searchable, large-scale, highly accurate knowledge base of common fact...
Gjergji Kasneci, Maya Ramanath, Fabian M. Suchanek...