Kausalmodellerzeugungsverfahren und Kausalmodellerzeugungsprogramm
Anmelder: FUJITSU LIMITED 🇯🇵
Details
- Veröffentlichungs-Nr.
- EP4807638
- Anmeldetag
- 10. Februar 2026
- Veröffentlichung
- 16. September 2026
- Rechtsraum
- EP
Abstract
Provided is a causal model generation method that causes a computer to execute a process. The process includes identifying a timing at which the specific event occurred in each of a plurality of second data acquisition ranges in which the specific event previously occurred (S14), evaluating a similarity between a plurality of types of data acquired in each of the plurality of second data acquisition ranges in a focused period before an identified timing and a plurality of types of data acquired in the first data acquisition range (S30 - S42), identifying a second data acquisition range that is most similar to the first data acquisition range in the plurality of second data acquisition ranges based on a result of the evaluating (S44), and generating a causal model when the specific event occurs in the first data acquisition range using data acquired after the specific event occurs in an identified second data acquisition range (S50 - S56).
Anmelder
- Firma
- FUJITSU LIMITED
- Land
- 🇯🇵 Japan
Japanisches Unternehmen für Informationstechnik, das Computer, Server, Netzwerktechnik sowie IT-Dienstleistungen und Softwarelösungen entwickelt und anbietet.
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Vertreten von
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Hoffmann Eitle
Hoffmann Eitle · München