Random incremental forest and table structure recognition

Р. Kudinov, Valentin Alexandrovich Polezhaev · 2011

The paper proposes a new incremental algorithm for correct classification, based on the construction of a random incremental forest (RIF). The problem of recognizing the structure of statistical tables is considered and classification problems for its resolution are stated. A comparison of the new algorithm with a known algorithm ITI is shown. RIF shows better results for most problems.

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