International Business Machines Corporation

Apoorva Nitsure

Rajesh Ramkrishna Bordawekar

System and method herein interpret results of a semantic clustering Structured Query Language (SQL) Cognitive Intelligence (CI) query by identifying dominant traits of a query input to determine a ranking of query results by identifying influential tokens of the query input based on data statistics and observing the dominant traits in influential tokens of a query output, wherein the identifying the dominant traits of the query input comprises incorporating co-occurrence measurements.

Interpretability of results from cognitive semantic clustering queries over relational datbases

A computer-implemented method of performing queries using Artificial Intelligence (AI) database embeddings includes the operations of generating a plurality of vector embeddings describing a training data from a database for training a machine learning model. A test vector embedding is generated from the plurality of vector embeddings based on training data for unseen data from one or more rows of the database. One or more vectors from the plurality of vector embeddings describing the training data that are a closest match to the test vector embedding are identified. A task is determined based upon the unseen data. The determined task is performed using the trained machine learning model.

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Apoorva Nitsure