Invention Grant
- Patent Title: Generating cohorts using automated weighting and multi-level ranking
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Application No.: US15766655Application Date: 2015-10-09
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Publication No.: US10698910B2Publication Date: 2020-06-30
- Inventor: Ming C. Hao , Nelson L. Chang , Justin Aaron Scaggs , Felix Hamborg , Daniel Keim
- Applicant: ENTIT Software LLC
- Applicant Address: US CA Santa Clara
- Assignee: MICRO FOCUS LLC
- Current Assignee: MICRO FOCUS LLC
- Current Assignee Address: US CA Santa Clara
- International Application: PCT/US2015/054866 WO 20151009
- International Announcement: WO2017/062026 WO 20170413
- Main IPC: G06F16/2457
- IPC: G06F16/2457 ; G06F21/55 ; G06F16/248 ; G06F7/16

Abstract:
Automated weighting is performed that includes transforming a behavior of each respective dimension of multiple dimensions of a selected group of events to a respective weight, the respective weight determined based on a distribution of values of the respective dimension, and where the weight determined for a first of the plurality of dimensions is greater than the weight determined for a second of the plurality of dimensions. Similarity values are computed indicating similarities between further events and the selected group of events, the similarity values based on a combination of the weights and distances between the further events and the selected group of events. Cohorts of the further events are generated by performing multi-level ranking that comprises ranking groups of the further events based on the similarity values, and applying merging to the groups to produce merged groups. The cohorts are visualized in a graphical visualization.
Public/Granted literature
- US20190065503A1 GENERATING COHORTS USING AUTOMATED WEIGHTING AND MULTI-LEVEL RANKING Public/Granted day:2019-02-28
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