Invention Grant
- Patent Title: Method for identifying concepts that cause significant deviations of regional distribution in a large data set
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Application No.: US15812464Application Date: 2017-11-14
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Publication No.: US10671882B2Publication Date: 2020-06-02
- Inventor: Tetsuya Nasukawa , Kazuki Sato
- 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: Tutunjian & Bitetto, P.C.
- Agent Vazken Alexanian
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06F17/27 ; G06T11/60 ; G06F16/583

Abstract:
A technique for use in analyzing multidimensional data is disclosed. In the technique, a subset of texts specified by a textual feature is selected from the multidimensional data. Each text of the subset is projected into a target image based on the corresponding spatial information to obtain a spatial distribution map for the textual feature. The similarity between the spatial distribution map for the textual feature and each property distribution map for each predefined property is determined. For the similarity exceeding a threshold, the textual feature is outputted as a notable textual feature.
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