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Mining indirect association rules for web recommendation

Przemysław Kazienko — 2009

International Journal of Applied Mathematics and Computer Science

Classical association rules, here called “direct”, reflect relationships existing between items that relatively often co-occur in common transactions. In the web domain, items correspond to pages and transactions to user sessions. The main idea of the new approach presented is to discover indirect associations existing between pages that rarely occur together but there are other, “third” pages, called transitive, with which they appear relatively frequently. Two types of indirect associations rules...

Multi-label classification using error correcting output codes

Tomasz Kajdanowicz;  Przemysław Kazienko — 2012

International Journal of Applied Mathematics and Computer Science

A framework for multi-label classification extended by Error Correcting Output Codes (ECOCs) is introduced and empirically examined in the article. The solution assumes the base multi-label classifiers to be a noisy channel and applies ECOCs in order to recover the classification errors made by individual classifiers. The framework was examined through exhaustive studies over combinations of three distinct classification algorithms and four ECOC methods employed in the multi-label classification...

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