Invention Grant
- Patent Title: Probability mapping model for location of natural resources
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Application No.: US16397186Application Date: 2019-04-29
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Publication No.: US11500905B2Publication Date: 2022-11-15
- Inventor: Aaron K. Baughman , Thomas B. Harrison , Brian M. O'Connell
- Applicant: KYNDRYL, INC.
- Applicant Address: US NY New York
- Assignee: KYNDRYL, INC.
- Current Assignee: KYNDRYL, INC.
- Current Assignee Address: US NY New York
- Agency: Calderon Safran & Cole P.C.
- Agent Erik Swanson; Andrew D. Wright
- Main IPC: G06N7/00
- IPC: G06N7/00 ; G06F16/28 ; G06N20/00 ; G06F16/00 ; G06N20/20

Abstract:
A computer processor generates a topic-based dataset based on parsing content received from a plurality of information sources, which includes historical data and scientific data, associated with a location of a natural resource. The processor generates a plurality of clusters, respectively corresponding to like-topic data of the topic-based dataset. The processor determines a plurality of hypotheses, respectively corresponding to the plurality of clusters of the like-topic data, wherein the plurality of hypotheses are based on features associated with each of the plurality of clusters of the like-topic data. The processor combines pairs of clusters, based on a similarity heuristic applied to the one or more pairs of clusters, and the processor determines a plurality of probabilities respectively corresponding to a validity of each hypothesis of the plurality of hypotheses, associated with the location of a natural resource.
Public/Granted literature
- US20190258647A1 PROBABILITY MAPPING MODEL FOR LOCATION OF NATURAL RESOURCES Public/Granted day:2019-08-22
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N7/00 | 基于特定数学模式的计算机系统 |