Motivation Analysis of Technological Startups Business Models Based on Intelligent Data Mining and Analysis
To improve the motivation analysis effect of the technological startups business model, this study combines intelligent data mining technology to analyze related factors and proposes a method of adjusting parameters of machine-learning model based on Bayesian optimization algorithm. Moreover, this s...
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Format: | Article |
Language: | English |
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Wiley
2022-01-01
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Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2022/9316534 |
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author | Xuejiao Ren Xiaozhou Ding |
author_facet | Xuejiao Ren Xiaozhou Ding |
author_sort | Xuejiao Ren |
collection | DOAJ |
description | To improve the motivation analysis effect of the technological startups business model, this study combines intelligent data mining technology to analyze related factors and proposes a method of adjusting parameters of machine-learning model based on Bayesian optimization algorithm. Moreover, this study integrates the prior information and sample information of the machine learning algorithm performance function and builds an intelligent analysis model based on the elements of the technological startups business model. Finally, this article designs experiments to evaluate the effect of intelligent data mining of the system model in this study. The research shows that the motivation analysis model of the technological startups’ business model based on intelligent data mining analysis proposed in this study meets the basic requirements of the design system of this study. |
format | Article |
id | doaj-art-16b977005c24400f8739570e778c05c8 |
institution | Kabale University |
issn | 2090-0155 |
language | English |
publishDate | 2022-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Electrical and Computer Engineering |
spelling | doaj-art-16b977005c24400f8739570e778c05c82025-02-03T06:07:33ZengWileyJournal of Electrical and Computer Engineering2090-01552022-01-01202210.1155/2022/9316534Motivation Analysis of Technological Startups Business Models Based on Intelligent Data Mining and AnalysisXuejiao Ren0Xiaozhou Ding1Guangdong Mechanical & Electrical PolytechnicHarbin Engineering UniversityTo improve the motivation analysis effect of the technological startups business model, this study combines intelligent data mining technology to analyze related factors and proposes a method of adjusting parameters of machine-learning model based on Bayesian optimization algorithm. Moreover, this study integrates the prior information and sample information of the machine learning algorithm performance function and builds an intelligent analysis model based on the elements of the technological startups business model. Finally, this article designs experiments to evaluate the effect of intelligent data mining of the system model in this study. The research shows that the motivation analysis model of the technological startups’ business model based on intelligent data mining analysis proposed in this study meets the basic requirements of the design system of this study.http://dx.doi.org/10.1155/2022/9316534 |
spellingShingle | Xuejiao Ren Xiaozhou Ding Motivation Analysis of Technological Startups Business Models Based on Intelligent Data Mining and Analysis Journal of Electrical and Computer Engineering |
title | Motivation Analysis of Technological Startups Business Models Based on Intelligent Data Mining and Analysis |
title_full | Motivation Analysis of Technological Startups Business Models Based on Intelligent Data Mining and Analysis |
title_fullStr | Motivation Analysis of Technological Startups Business Models Based on Intelligent Data Mining and Analysis |
title_full_unstemmed | Motivation Analysis of Technological Startups Business Models Based on Intelligent Data Mining and Analysis |
title_short | Motivation Analysis of Technological Startups Business Models Based on Intelligent Data Mining and Analysis |
title_sort | motivation analysis of technological startups business models based on intelligent data mining and analysis |
url | http://dx.doi.org/10.1155/2022/9316534 |
work_keys_str_mv | AT xuejiaoren motivationanalysisoftechnologicalstartupsbusinessmodelsbasedonintelligentdataminingandanalysis AT xiaozhouding motivationanalysisoftechnologicalstartupsbusinessmodelsbasedonintelligentdataminingandanalysis |