Invention Grant
- Patent Title: Auto-analyzing spatial relationships in multi-scale spatial datasets for spatio-temporal prediction
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Application No.: US14450712Application Date: 2014-08-04
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Publication No.: US10600007B2Publication Date: 2020-03-24
- Inventor: Wei Shan Dong , Arun Hampapur , Hongfei Li , Li Li , Xuan Liu , Chun Yang Ma , Songhua Xing
- 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 Daniel Morris
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06N99/00 ; G06N7/00 ; G06F16/22 ; G06F16/2458 ; G06F16/9537

Abstract:
A method and system to perform spatio-temporal prediction are described. The method includes obtaining, based on communication with one or more sources, multi-scale spatial datasets, each of the multi-scale spatial datasets providing a type of information at a corresponding granularity, at least two of the multi-scale spatial datasets providing at least two types of information at different corresponding granularities. The method also includes generating new features for each of the multi-scale spatial datasets, the new features being based on features of each of the multi-scale spatial datasets and spatial relationships between and within the multi-scale spatial datasets. The method further includes selecting, using the processor, features of interest from among the new features, training a predictive model based on the features of interest, and predicting an event based on the predictive model.
Public/Granted literature
- US20160034824A1 AUTO-ANALYZING SPATIAL RELATIONSHIPS IN MULTI-SCALE SPATIAL DATASETS FOR SPATIO-TEMPORAL PREDICTION Public/Granted day:2016-02-04
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