Abstract
The paper is devoted to the investigation of web pages classification algorithms for protection against inappropriate information on the Internet. The approach for combining of classification algorithms based on different aspects of the source data and different machine learning methods is proposed. The experiments results of this approach application for website classification is presented.
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The work is performed by the grant of RSF 18-11-00302 in SPIIRAS.
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Gaifulina, D., Chechulin, A. (2020). Development of the Complex Algorithm for Web Pages Classification to Detection Inappropriate Information on the Internet. In: Kotenko, I., Badica, C., Desnitsky, V., El Baz, D., Ivanovic, M. (eds) Intelligent Distributed Computing XIII. IDC 2019. Studies in Computational Intelligence, vol 868. Springer, Cham. https://doi.org/10.1007/978-3-030-32258-8_33
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DOI: https://doi.org/10.1007/978-3-030-32258-8_33
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