Open AccessResearch on the Reform of Investigation Methods Guided by Dynamic Data Forecast
Author(s) -
Liangyan Tang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1883/1/012150
Subject(s) - computer science , openness to experience , resource (disambiguation) , data mining , content analysis , diversity (politics) , risk analysis (engineering) , data science , operations research , industrial engineering , engineering , political science , medicine , psychology , computer network , social psychology , social science , sociology , law
This article analyzes the constituent elements of dynamic data forecasting and guiding investigation. The research content of this article includes technical elements, resource elements, thinking elements, etc. The author combined with dynamic data to predict the attributes of guiding investigations, and studied content including dynamics, openness, diversity, and integrity. This paper studies the spatial analysis method, detection analysis method, matrix analysis method, predictive analysis method, risk assessment analysis method, node analysis method and so on. The purpose of this article is to guide the reform of investigation methods, speed up the development of investigation work, and improve the practicability of investigation results.