@ARTICLE{26583204_44327230_2011, 
	author = {Р. Kudinov and V. Polezhaev}, 
	keywords = {, pattern recognition, text mining, classification, Incremental learning, decision trees, information retrievalcorrect algorithms for classification},
	title = {Random incremental forest and table structure recognition},
	journal = {},
	year = {2011},
	number = {4},
	pages = {39-46},
	url = {https://bijournal.hse.ru/en/2011--4/44327230.html},
	publisher = {},
	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.},
	annote = {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.}
}