18363431. COMPUTER-READABLE RECORDING MEDIUM STORING DETERMINATION PROGRAM, DETERMINATION METHOD, AND INFORMATION PROCESSING DEVICE simplified abstract (Fujitsu Limited)
Contents
- 1 COMPUTER-READABLE RECORDING MEDIUM STORING DETERMINATION PROGRAM, DETERMINATION METHOD, AND INFORMATION PROCESSING DEVICE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 COMPUTER-READABLE RECORDING MEDIUM STORING DETERMINATION PROGRAM, DETERMINATION METHOD, AND INFORMATION PROCESSING DEVICE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
COMPUTER-READABLE RECORDING MEDIUM STORING DETERMINATION PROGRAM, DETERMINATION METHOD, AND INFORMATION PROCESSING DEVICE
Organization Name
Inventor(s)
Koji Maruhashi of Hachioji (JP)
COMPUTER-READABLE RECORDING MEDIUM STORING DETERMINATION PROGRAM, DETERMINATION METHOD, AND INFORMATION PROCESSING DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18363431 titled 'COMPUTER-READABLE RECORDING MEDIUM STORING DETERMINATION PROGRAM, DETERMINATION METHOD, AND INFORMATION PROCESSING DEVICE
Simplified Explanation
The patent application describes a program stored on a computer-readable medium that processes graph data to make determinations based on trained models and scores.
- Acquiring determination results and scores: The program acquires determination results and scores from graph data using trained models.
- Specifying second graph data: If all scores are below a threshold, the program specifies second graph data as a different determination result.
- Outputting information: The program outputs information related to the feature of the second graph data in association with the determination result of the first graph data.
Potential Applications
This technology could be applied in various fields such as data analysis, pattern recognition, and decision-making processes.
Problems Solved
This technology helps in automating decision-making processes based on graph data, improving efficiency and accuracy in making determinations.
Benefits
The benefits of this technology include faster processing of graph data, more accurate determinations, and the ability to handle large datasets efficiently.
Potential Commercial Applications
A potential commercial application of this technology could be in the development of software tools for data analysis and decision-making in industries such as finance, healthcare, and marketing.
Possible Prior Art
One possible prior art could be the use of machine learning models for processing graph data in various applications.
Unanswered Questions
How does this technology handle noisy or incomplete graph data?
The patent application does not provide information on how the program deals with noisy or incomplete graph data. This could be crucial in real-world applications where data may not always be perfect.
What are the computational requirements for running this program?
The patent application does not mention the computational resources needed to run the program. Understanding the computational requirements could be important for organizations looking to implement this technology.
Original Abstract Submitted
A computer-readable recording medium storing a program for causing a computer to execute processing including: acquiring a first determination result of first graph data by performing determination processing on the first graph data; acquiring one or more first scores regarding a feature of the first graph data by using a trained model, the one or more first scores representing a basis of the first determination result of the first graph data, the trained model being a model configured to output, in response to obtaining graph data, one or more scores regarding the feature of the graph data; in a case where all of the one or more first scores are less than a threshold, specifying second graph data being a second determination result different from the first determination result; and outputting, in association with the first determination result, information regarding the feature of the second graph data.
