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» Mining interesting sets and rules in relational databases
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BMCBI
2008
141views more  BMCBI 2008»
13 years 7 months ago
Ontology-guided data preparation for discovering genotype-phenotype relationships
Complexity of post-genomic data and multiplicity of mining strategies are two limits to Knowledge Discovery in Databases (KDD) in life sciences. Because they provide a semantic fr...
Adrien Coulet, Malika Smaïl-Tabbone, Pascale ...
ER
2007
Springer
138views Database» more  ER 2007»
13 years 9 months ago
Model-Driven Development Based Transformation of Stereotyped Class Diagrams to XML Schemas in a Healthcare Context
The health sector uses clinical guidelines as instruments for helping decision making. We are interested in the development of a ubiquitous decision support system (UDSS) for clini...
Eladio Domínguez, Jorge Lloret, Beatriz P&e...
COMBINATORICS
2006
112views more  COMBINATORICS 2006»
13 years 7 months ago
Shift-Induced Dynamical Systems on Partitions and Compositions
The rules of "Bulgarian solitaire" are considered as an operation on the set of partitions to induce a finite dynamical system. We focus on partitions with no preimage u...
Brian Hopkins, Michael A. Jones
ICDE
1995
IEEE
180views Database» more  ICDE 1995»
14 years 9 months ago
Building an Integrated Active OODBMS: Requirements, Architecture, and Design Decisions
Active OODBMSs must provide e cient support for event detection, composition, and rule execution. Previous experience, reported here, building active capabilities on top of existi...
Alejandro P. Buchmann, Jürgen Zimmermann, Jos...
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 8 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo