System and method for managing data modeling

Abstract

The invention provides a method for managing data modeling. The method comprises the following steps: (A) establishing a modeling project which is used for managing data modeling; (B) establishing at least one modeling plan under the established modeling project, wherein the modeling plan is used for executing data modeling activities; (C) under each established modeling plan, configuring a modeling task involved in a corresponding data modeling activity, wherein the model task comprises at least one of the following items: a data input task, a data splicing task, a characteristic extraction task, a model training task, a model evaluation task and a model application task; (D) starting the at least one modeling plan, and storing a result generated by the at least one modeling plan under the modeling project. Through above manner, the processing, data and resources involved in the data modeling can be effectively managed.

Description

technical field

[0001] The present invention relates generally to data modeling techniques, and more particularly to systems and methods for managing data modeling. Background technique

[0002] In recent years, with the generation of massive data in various fields, data mining technology has gradually been more widely used in order to analyze the potential meaning of data and reveal the internal laws of business, so as to help people better carry out practical activities such as production and operation. However, the application of data mining technology not only requires relevant personnel to have professional knowledge about machine learning or statistical learning, but also needs to use a large number of data samples in various formats and contents. Therefore, in practice, due to data management, personnel cooperation, Problems such as the level of modeling make it difficult to efficiently model data to solve business problems.

[0003] There are some systems and device...

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