@inproceedings{99073076c1154907a07a03ed6819f47a,
title = "Chi-square classifier for document categorization",
abstract = "The problem of document categorization is considered. The set of domains and the keywords specific for these domains is supposed to be selected beforehand as initial data. We apply the well-known statistical hypothesis test that considers images of documents and domains as normalized vectors. In comparison with existing methods, such approach allows to take into account a random character of initial data. The classifier is developed in the framework of Document Investigator software package.",
author = "Mikhail Alexandrov and Alexander Gelbukh and George Lozovoi",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 2nd International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2001 ; Conference date: 18-02-2001 Through 24-02-2001",
year = "2001",
doi = "10.1007/3-540-44686-9_45",
language = "Ingl{\'e}s",
isbn = "3540416870",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "457--459",
editor = "Alexander Gelbukh",
booktitle = "Computational Linguistics and Intelligent Text Processing - 2nd International Conference, CICLing 2001, Proceedings",
address = "Alemania",
}