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» Relational Methodology for Data Mining and Knowledge Discove...
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PAKDD
2001
ACM
121views Data Mining» more  PAKDD 2001»
15 years 2 months ago
Direct Domain Knowledge Inclusion in the PA3 Rule Induction Algorithm
Inclusion of domain knowledge in a process of knowledge discovery in databases is a complex but very important part of successful knowledge discovery solutions. In real-life data m...
Pedro de Almeida
65
Voted
SAC
2004
ACM
15 years 3 months ago
Knowledge discovery from doctor-patient relationship
The relationship between doctors and their patients is gaining more and more importance in the health care providing. It determines the compliance of the treatment and a part of t...
Jesús S. Aguilar-Ruiz, Raquel Costa, Federi...
ICFCA
2007
Springer
15 years 1 months ago
A Proposal for Combining Formal Concept Analysis and Description Logics for Mining Relational Data
Recent advances in data and knowledge engineering have emphasized the need for formal concept analysis (FCA) tools taking into account structured data. There are a few adaptations ...
Mohamed Rouane Hacene, Marianne Huchard, Amedeo Na...
DATAMINE
1998
106views more  DATAMINE 1998»
14 years 9 months ago
Discovering Robust Knowledge from Databases that Change
Many applications of knowledge discovery and data mining such as rule discovery for semantic query optimization, database integration and decision support, require the knowledge t...
Chun-Nan Hsu, Craig A. Knoblock
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
15 years 10 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen