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BMCBI
2006
144views more  BMCBI 2006»
15 years 6 months ago
Association algorithm to mine the rules that govern enzyme definition and to classify protein sequences
Background: The number of sequences compiled in many genome projects is growing exponentially, but most of them have not been characterized experimentally. An automatic annotation...
Shih-Hau Chiu, Chien-Chi Chen, Gwo-Fang Yuan, Thy-...
JUCS
2008
115views more  JUCS 2008»
15 years 6 months ago
Capturing Interaction Requirements in a Model Transformation Technology Based on MDA
: Currently, many models are used to capture functional software requirements. However, the Software Engineering community has faded interaction requirements into the background, d...
José Ignacio Panach, Sergio España, ...
KDD
2009
ACM
204views Data Mining» more  KDD 2009»
16 years 7 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
DBA
2004
140views Database» more  DBA 2004»
15 years 8 months ago
A Tool for Transforming Conceptual Schemas of Spatio-Temporal Databases with Multiple Representation
Nowadays, classical conceptual models (such as ER or UML) are used for designing database applications. These classical conceptual models usually come with associated CASE tools a...
Mohammed Minout, Christine Parent, Esteban Zim&aac...
DMIN
2006
126views Data Mining» more  DMIN 2006»
15 years 8 months ago
An Algorithm for the Discovery of Arbitrary Length Ordinal Association Rules
Association rule mining techniques are used to search attribute-value pairs that occur frequently together in a data set. Ordinal association rules are a particular type of associa...
Alina Campan, Gabriela Serban, Traian Marius Truta...