Invention Grant
- Patent Title: System and method for generation of case-based data for training machine learning classifiers
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Application No.: US15983200Application Date: 2018-05-18
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Publication No.: US11538044B2Publication Date: 2022-12-27
- Inventor: Pinchas Ben-Or , Yoav Avneon
- Applicant: Nice Ltd.
- Applicant Address: IL Ra'anana
- Assignee: Nice Ltd.
- Current Assignee: Nice Ltd.
- Current Assignee Address: IL Ra'anana
- Agency: Pearl Cohen Zedek Latzer Baratz LLP
- Main IPC: G06Q30/00
- IPC: G06Q30/00 ; G06N20/00

Abstract:
System and method for generating case-based data including receiving, input data describing an event of interest; if the input data is not in a format of a property graph then transforming the input data into a first property graph describing the event of interest and representing a first network, wherein the first property graph includes a plurality of network elements and properties of at least some of the plurality of network elements, wherein the network elements include entities and links describing relationships between the entities; changing a network element in the first property graph to create a second property graph of a new network; and using the second property graph as the case-based data. New properties may be generated for the entities and links.
Public/Granted literature
- US20190354993A1 SYSTEM AND METHOD FOR GENERATION OF CASE-BASED DATA FOR TRAINING MACHINE LEARNING CLASSIFIERS Public/Granted day:2019-11-21
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