20240020577. DATA MANAGEMENT SYSTEM AND DATA MANAGEMENT METHOD OF MACHINE LEARNING MODEL simplified abstract (Hitachi, Ltd.)

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DATA MANAGEMENT SYSTEM AND DATA MANAGEMENT METHOD OF MACHINE LEARNING MODEL

Organization Name

Hitachi, Ltd.

Inventor(s)

Itsumi Tsuchiya of Tokyo (JP)

Soichi Takashige of Tokyo (JP)

Tatsuhiro Matsui of Tokyo (JP)

DATA MANAGEMENT SYSTEM AND DATA MANAGEMENT METHOD OF MACHINE LEARNING MODEL - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240020577 titled 'DATA MANAGEMENT SYSTEM AND DATA MANAGEMENT METHOD OF MACHINE LEARNING MODEL

Simplified Explanation

The abstract of the patent application describes a data management system for a machine learning model. The system includes a flag management information table that manages and defines flags for various processes in the model's life cycle. An operation unit assigns these flags to input and output data of the model based on their involvement in predetermined processes. A data management unit determines the necessity of storing data based on the flags assigned by the operation unit.

  • The patent application describes a data management system for a machine learning model.
  • The system includes a flag management information table that manages and defines flags for different processes in the model's life cycle.
  • An operation unit assigns these flags to input and output data of the model based on their involvement in predetermined processes.
  • A data management unit determines the necessity of storing data based on the flags assigned by the operation unit.

Potential applications of this technology:

  • Machine learning models in various industries can benefit from this data management system.
  • It can be used in healthcare for managing patient data in predictive models.
  • E-commerce platforms can use it to manage customer data in recommendation systems.

Problems solved by this technology:

  • The system helps in efficiently managing and organizing data in machine learning models.
  • It ensures that only relevant data is stored, reducing storage requirements.
  • It provides a systematic approach to data management in the model's life cycle.

Benefits of this technology:

  • Improved performance and efficiency of machine learning models.
  • Reduced storage requirements and costs.
  • Enhanced data organization and management.
  • Increased accuracy and reliability of the model's outputs.


Original Abstract Submitted

in a data management system of a machine learning model, flag management information (a flag importance management table) manages and defines respective flags corresponding to, of a plurality of processes included in the life cycle, one or more predetermined processes. an operation unit assigns flags defined in the flag management information to input data and output data of the model in accordance with involvement in the predetermined processes when the model is operated. a data management unit determines, with respect to each of the input data and the output data, the necessity of storage of data on the basis of a flag assigned to the data by the operation unit.

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