View source for 18363431. COMPUTER-READABLE RECORDING MEDIUM STORING DETERMINATION PROGRAM, DETERMINATION METHOD, AND INFORMATION PROCESSING DEVICE simplified abstract (Fujitsu Limited)

=COMPUTER-READABLE RECORDING MEDIUM STORING DETERMINATION PROGRAM, DETERMINATION METHOD, AND INFORMATION PROCESSING DEVICE=


==Organization Name==

[[:Category:Fujitsu Limited|Fujitsu Limited]]


[[Category:Fujitsu Limited]]

==Inventor(s)==

[[:Category:Tao Komikado of Yokohama (JP)|Tao Komikado of Yokohama (JP)]][[Category:Tao Komikado of Yokohama (JP)]]

[[:Category:Koji Maruhashi of Hachioji (JP)|Koji Maruhashi of Hachioji (JP)]][[Category: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.



[[Category:G06N3/042]]