06106080

a

06106080 D'yakonov, Alexander A blending of simple algorithms for topical classification. Yao, JingTao (ed.) et al., Rough sets and current trends in computing. 8th international conference, RSCTC 2012, Chengdu, China, August 17--20, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-32114-6/pbk). Lecture Notes in Computer Science 7413. Lecture Notes in Artificial Intelligence, 432-438 (2012). 2012 Berlin: Springer EN topical classification blending simple algorithms text classification SVD SVM k-NN linear classifier

doi:10.1007/978-3-642-32115-3_51

Summary: Algorithm which has taken the third place in ``JRS 2012 Data Mining Competition'' among 126 participants is described. The competition was related to the problem of predicting topical classification of scientific publications in a field of biomedicine. The presented algorithm is a combination (blend) of simple classification algorithms: a linear classifier, a k-NN classifier and two SVMs. We build the combination using special estimation matrices. It proves again that combinations have significantly better performance compared to their individual members.