Invention Grant
- Patent Title: Convolutional neural network (CNN)-based suggestions for anomaly input
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Application No.: US15726268Application Date: 2017-10-05
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Publication No.: US11087211B2Publication Date: 2021-08-10
- Inventor: Chang Lu , Lingtao Zhang
- Applicant: salesforce.com, inc.
- Applicant Address: US CA San Francisco
- Assignee: salesforce.com, inc.
- Current Assignee: salesforce.com, inc.
- Current Assignee Address: US CA San Francisco
- Agency: Haynes and Boone, LLP
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/04
Abstract:
The technology disclosed determines one or more field values in a set of field values for a particular field in a fielded dataset that are similar to an input value using six similarity measures. A factor vector is generated per similarity measure and combined to form an input matrix. A convolutional neural network processes the input matrix to generate evaluation vectors. A fully-connected network evaluates the evaluation vectors to generate suggestion scalars for similarity to a particular input value. Thresholding is applied to suggestions scalars to determine one or more suggestion candidates for the particular input value.
Public/Granted literature
- US20190108439A1 CONVOLUTIONAL NEURAL NETWORK (CNN)-BASED SUGGESTIONS FOR ANOMALY INPUT Public/Granted day:2019-04-11
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