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23

ADBIS
2008
Springer

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Reclassification of Linearly Classified Data Using Constraint Databases

13 years 10 months ago

Reclassification of Linearly Classified Data Using Constraint Databases

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In many problems the raw data is already classified according to a variety of features using some linear classification algorithm but needs to be reclassified. We introduce a novel reclassification method that creates new classes by combining in a flexible way the existing classes without requiring access to the raw data. The flexibility is achieved by representing the results of the linear classifications in a linear constraint database and using the full query capabilities of a constraint database system. We implemented this method based on the MLPQ constraint database system. We also tested the method on a data that was already classified using a decision tree algorithm.

Peter Z. Revesz, Thomas Triplet

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ADBIS 2008 | Constraint Database | Constraint Database System | Database | Linear Classifications |

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Added	12 Oct 2010
Updated	12 Oct 2010
Type	Conference
Year	2008
Where	ADBIS
Authors	Peter Z. Revesz, Thomas Triplet

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