A Lazy Model-Based Algorithm for On-Line Classification

Authors:
Gabor Melli
Affiliations:
-
Venue:
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Year:
1999

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Abstract

This paper presents a lazy model-based algorithm, named DBPredictor, for on-line classification tasks. The algorithm proposes a local discretization process to avoid the need for a lengthy preprocess stage. Another advantage of this approach is the ability to implement the algorithm with tightly-coupled SQL relational database queries. To test the algorithm's performance in the presence of continuous attributes an empirical test is reported against both an eagermodelbased algorithm (C4.5) and a lazy instance-based algorithm (k-NN).