Scholarlink

Abstract <p>The MCCP method (modeling, calibration, challenge, production) may be used to detect anomalous values in data on the basis of a structured approach, with several stages. The method is formulated as an algorithm and tested on view data for video content on several popular video hosting sites.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Detecting Anomalous Data in the Marketing of Automobile Brands

  • 期刊论文

  • 发表日期：

    2025年9月1日

查看全文
  • V. A. Deryugina,
  • V. G. Mosin,
  • V. N. Kozlovskii,
  • U. V. Brachunova

摘要

Abstract

The MCCP method (modeling, calibration, challenge, production) may be used to detect anomalous values in data on the basis of a structured approach, with several stages. The method is formulated as an algorithm and tested on view data for video content on several popular video hosting sites.