Invention Grant
- Patent Title: Visually interactive identification of a cohort of data objects similar to a query based on domain knowledge
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Application No.: US15519734Application Date: 2015-01-23
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Publication No.: US10509800B2Publication Date: 2019-12-17
- Inventor: Ming C Hao , Wei-Nchih Lee , Nelson L Chang , Michael Hund , Daniel Keim
- Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
- Applicant Address: US TX Spring
- Assignee: Hewlett-Packard Development Company, L.P.
- Current Assignee: Hewlett-Packard Development Company, L.P.
- Current Assignee Address: US TX Spring
- Agency: HPI Patent Department
- International Application: PCT/US2015/012681 WO 20150123
- International Announcement: WO2016/118156 WO 20160728
- Main IPC: G06F16/26
- IPC: G06F16/26 ; G06F16/2458 ; G06F16/248 ; G06F3/0484

Abstract:
Visually interactive identification of a cohort of similar data objects is disclosed. One example is a system including a data processor to access a plurality of data objects, each data object comprising a plurality of numerical components, where each component represents a data feature of a plurality of data features, and to identify, for each data feature, a feature distribution of the numerical components. A selector selects a sub-plurality of the data features of a query object, where a given data feature is selected if the component representing the given data feature is a peak for the feature distribution. An evaluator determines a similarity measure based on the sub-plurality of the data features. An interaction processor iteratively processes selection of a sub-plurality of the data features based on domain knowledge, and identifies, based on the similarity measures, a cohort of data objects similar to the query object.
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Information query