Interpretable query projection learning

Authors:
Yiqiu Han;Wai Lam
Affiliations:
Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, Hong Kong;Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, Hong Kong
Venue:
CIS'04 Proceedings of the First international conference on Computational and Information Science
Year:
2004

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Abstract

We propose a novel lazy learning method, called QPL, which attempts to discover useful patterns from training data. The discovered patterns (Query Projections) are customized to the query instance and easily interpretable. As a pattern discovering method, QPL does not require a batch training process and still achieves excellent classification quality. We use some benchmark data sets to evaluate QPL and demonstrate that QPL has a prominent performance and high reliability.