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Classifying High-Dimensional Text and Web Data Using Very Short Patterns
2008
2008 Eighth IEEE International Conference on Data Mining
In this paper, we propose the "Democratic Classifier", a simple, democracy-inspired patternbased classification algorithm that uses very short patterns for classification, and does not rely on the minimum support threshold. Borrowing ideas from democracy, our training phase allows each training instance to vote for an equal number of candidate size-2 patterns. Similar to the usual democratic election process, where voters select candidates by considering their qualifications, prior
doi:10.1109/icdm.2008.139
dblp:conf/icdm/MalikK08
fatcat:riql2nfacvckdcv3zvhw3oh2bu