Network interaction and cooperation modeling

Abstract

The invention discloses a modeling method based on the utilization of network interaction and cooperation modeling, and aims to realize project sharing and cooperative project implementation by utilizing a network platform. The method disclosed by the invention comprises the steps of data management, definition of a target variable, management of a data sample, variable detailing, automatic grouping, manual regulation, model establishment and effect evaluation and scoring. In the invention, source data is imported into a GainsChart system (an online modeling platform) by the data management, and a result variable and a weight variable are defined at the same time; the source data is randomly extracted to form a data sample, and then the data sample is managed; and variable details list all information related to the variables, and a network interaction and cooperation modeling system automatically calculates variable information. The method disclosed by the invention has the advantage of network cooperation modeling, and is applied to the industries of data analysis, software information technologies related to data analysis and operations and decision making using data analysis; and by the method, a modeling flow is simplified, and the project management efficiency can be greatly improved.

Description

technical field [0001] The invention relates to a modeling process, more specifically, a network interactive cooperative modeling process applied to data analysis and project management. Background technique [0002] At present, the SAS software (data analysis system), which is widely used in mathematical modeling, has powerful statistical analysis functions. The core module of the SAS system, BASE SAS, undertakes the main data management tasks, manages the user's use environment, and conducts user language analysis. Process, call other SAS modules and products. The SAS data analysis system provides great convenience for the data analysis industry, but there are still many shortcomings, such as the high cost of the mainframe, and it is only suitable for stand-alone modeling. The modeling process of the SAS system is complex and requires a high level of professional skills, which greatly increases the time cost and labor cost of modeling. How to simplify the modeling proces...

AI Technical Summary

Problems solved by technology

The SAS data analysis system provides great convenience for the data analysis industry, but there are still many shortcomings, such as the high cost of the mainframe, and it is only suitable for stand-alone modeling

The modeling process of the SAS system is complex and requires a high level of professional skills, which greatly increases the time cost and labor cost of modeling

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