Invention Grant
- Patent Title: Selecting identifier file using machine learning
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Application No.: US15597504Application Date: 2017-05-17
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Publication No.: US10585853B2Publication Date: 2020-03-10
- Inventor: Tomasz Hanusiak , Konrad W. Komnata , Jaroslaw Osinski , Grzegorz Szczepanik
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Cantor Colburn LLP
- Agent Jeffrey S LaBaw
- Main IPC: G06F16/14
- IPC: G06F16/14 ; G06N20/00 ; G06F16/13 ; G06F21/73 ; G06F21/12 ; G06N3/04 ; G06F8/61

Abstract:
Embodiments of the present invention are directed to a computer-implemented method for selecting an identifier file for a software product. An example method includes installing the software product on a machine. The method further includes determining a list of files of the software product by scanning a file system of the machine. The method further includes selecting an identifier file from the list of files using a machine learning algorithm. The method further includes updating a license of the software product on the machine with the identifier file.
Public/Granted literature
- US20180336323A1 SELECTING IDENTIFIER FILE USING MACHINE LEARNING Public/Granted day:2018-11-22
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