title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð´ÑÐ»Ñ Ð´Ð»Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐµÐ³Ð¸Ð¾Ð½Ð°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð¸Ð½Ð´ÐµÐºÑÐ° Ð¸Ð½Ð½Ð¾Ð²Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of a software module for modeling the regional index of innovative development
Creators: name: ÐÐ¸Ð´ÐºÐ¾Ð², ÐÐµÐ½Ð¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: Ð°Ð½Ð°Ð»Ð¸ÑÐ¸ÐºÐ° Ð´Ð°Ð½Ð½ÑÑ
Ð¼Ð½Ð¾Ð¶ÐµÑÑÐ²ÐµÐ½Ð½Ð°Ñ Ð»Ð¸Ð½ÐµÐ¹Ð½Ð°Ñ ÑÐµÐ³ÑÐµÑÑÐ¸Ñ
ÑÐ°ÐºÑÐ¾ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·
ÑÑÐµÐ´Ð½ÑÑ Ð³ÐµÐ¾Ð¼ÐµÑÑÐ¸ÑÐµÑÐºÐ°Ñ Ð¾ÑÐµÐ½ÐºÐ°
Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÐ¹ Ð¼Ð¾Ð´ÑÐ»Ñ
Ð¸Ð½Ð´ÐµÐºÑ Ð¸Ð½Ð½Ð¾Ð²Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ
ÐºÐ»Ð¸ÐµÐ½Ñ-ÑÐµÑÐ²ÐµÑÐ½Ð°Ñ Ð°ÑÑ Ð¸ÑÐµÐºÑÑÑÐ°
data analytics
multiple linear regression
factor analysis
geometric mean estimate
software module
innovative development index
client-server architecture

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description: The given work is devoted to studying data analytics algorithms for modeling and analyzing the index of innovative development of regions and the development of a software tool that implements these algorithms within the digital platform. The research set the following goals: 1. Studying the architecture of the digital platform and the algorithms used. 2. Research of algorithms for predictive and diagnostic data analytics for modeling and analysis of the index indicator. 3. Development of the functionality of a personal account and implementation of the selected algorithms in the software module. 4. Testing the received tool on the actual data of the digital platform. The work was carried out within the framework of a digital platform for modeling the regional innovation system of Russia developed by the laboratory "ISSDP" with the support of the Higher Graduate School of Industrial Economics of IMET SPbPU. Algorithms for predictive and diagnostic data analytics were selected based on the data stored in the platform database, and their mathematical and logical models were studied. Based on the selected algorithms, a software module for modeling and analyzing the innovation development index was implemented within the framework of the platforms personal account.