MODEL STACKS FOR AUTOMATICALLY CLASSIFYING DATA RECORDS IMPORTED FROM BIG DATA AND/OR OTHER SOURCES, ASSOCIATED SYSTEMS, AND/OR METHODS

Patent №

US 9,740,979

Granted

2017-08-22

Filed 2016

Owner

XEEVA, INC.

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15173106

Techniques relating to managing “bad” or “imperfect” data being imported into a database system are described herein. As an example, a lifecycle technology solution helps receive data from a variety of different data sources of a variety of known and/or unknown formats, standardize it, fit it to a known taxonomy through model-assisted classification, store it to a database in a manner that is consistent with the taxonomy, and allow it to be queried for a variety of different usages. Some or all of the disclosed technology concerning auto-classification, enrichment, clustering model and model stacks, and/or the like, may be used in these and/or other regards.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG06N 5/022G06F 16/185G06F 16/21G06F 16/215G06F 16/22G06F 16/2228G06F 16/23G06F 16/2379+13 more

AI classification

Natural language1.00
Machine learning1.00
AI hardware1.00
Planning1.00
Knowledge representation0.99
Vision0.09
Evolutionary computation0.00
Speech0.00

Ownership

XEEVA, INC.

assignment · 388020995

Assignors

DUBEY, DILIP, RATHI, DINESHCHANDRA HARIKISAN, KUMARASWAMY, KOUSHIK

On an employer assignment, the assignors are typically the inventors.

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