A Classifier Capable of Handling New Attributes

During knowledge acquisition, a new attribute can be added at any time. In such a case, rule generated by the training data with the former attribute set can not be used. Moreover, the rule can not be combined with the new data set with the newly added attribute(s) using the existing algorithms. In...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Dong-Hun Seo, Chi-Hwa Song, Won Don Lee
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Classification algorithms Computer science Data mining Decision trees Electronic mail Engines Inference algorithms Pervasive computing Sensor phenomena and characterization Training data
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