Random incremental forest and table structure recognition

Abstract

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.