Сибирский федеральный университет

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: Computer Science Online Conference, CSOC 2021

Год издания: 2021

Идентификатор DOI: 10.1007/978-3-030-77448-6_49

Ключевые слова: classifier, interpretability, normalized boosting criterion, pattern, pattern informativity

Аннотация: A procedure for obtaining an interpreted and high-precision classifier which consists of two steps is proposed. At the first step, the rules of the original classifier, of which it consists, are modified using the aggregation procedure. It is applied to each rule and is aimed at making it more informative. At the second step, the classifier reduction procedure is performed based on the normalized boosting criterion. An empirical confirmation of the expediency of such a procedure is given. #CSOC1120. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Журнал: Lecture Notes in Networks and Systems

Выпуск журнала: Vol. 228

Номера страниц: 500-507

ISSN журнала: 23673370

Издатель: Springer Science and Business Media Deutschland GmbH

• Kuzmich R.I. (Siberian Federal University, Krasnoyarsk, Russian Federation, Sirius University of Science and Technology, Sochi, Russian Federation)
• Stupina A.A. (Siberian Federal University, Krasnoyarsk, Russian Federation, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation, Krasnoyarsk State Agrarian University, Krasnoyarsk, Russian Federation)
• Zavalov A.A. (Siberian Federal University, Krasnoyarsk, Russian Federation, Sirius University of Science and Technology, Sochi, Russian Federation)
• Postnikova U.S. (Siberian Federal University, Krasnoyarsk, Russian Federation, Sirius University of Science and Technology, Sochi, Russian Federation)
• Pokushko M.V. (Siberian Federal University, Krasnoyarsk, Russian Federation, Sirius University of Science and Technology, Sochi, Russian Federation, University of Cadiz, UCASE Software Engineering Group, 10, University of Cadiz Street, Puerto Real, 11519, Spain)

• Scopus
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