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arXiv · 1504.05473

Can FCA-based Recommender System Suggest a Proper Classifier?

Yury Kashnitsky·Dmitry I. Ignatov
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Abstract

The paper briefly introduces multiple classifier systems and describes a new algorithm, which improves classification accuracy by means of recommendation of a proper algorithm to an object classification. This recommendation is done assuming that a classifier is likely to predict the label of the object correctly if it has correctly classified its neighbors. The process of assigning a classifier to each object is based on Formal Concept Analysis. We explain the idea of the algorithm with a toy example and describe our first experiments with real-world datasets.

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BibTeXRIS

Yury Kashnitsky, Dmitry I. Ignatov. 2015-04-21. Can FCA-based Recommender System Suggest a Proper Classifier?. https://arxiv.org/abs/1504.05473

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