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.
AI classification
Ownership
XEEVA, INC.
assignment · 388020995
Assignors
DUBEY, DILIP, RATHI, DINESHCHANDRA HARIKISAN, KUMARASWAMY, KOUSHIK
On an employer assignment, the assignors are typically the inventors.