19 citations · 23 across the 4 of their papers we have counts for
6 papers
ML Based Lineage in Databases
Michael Leybovich, Oded Shmueli
We track the lineage of tuples throughout their database lifetime. That is, we consider a scenario in which tuples (records) that are produced by a query may affect other tuple ins…
Efficient Approximate Search for Sets of Vectors
Michael Leybovich, Oded Shmueli
We consider a similarity measure between two sets and of vectors, that balances the average and maximum cosine distance between pairs of vectors, one from set and one f…
NN-based Transformation of Any SQL Cardinality Estimator for Handling DISTINCT, AND, OR and NOT
Rojeh Hayek, Oded Shmueli
SQL queries, with the AND, OR, and NOT operators, constitute a broad class of highly used queries. Thus, their cardinality estimation is important for query optimization. In additi…
Improved Cardinality Estimation by Learning Queries Containment Rates
Rojeh Hayek, Oded Shmueli
The containment rate of query Q1 in query Q2 over database D is the percentage of Q1's result tuples over D that are also in Q2's result over D. We directly estimate containment ra…
Cognitive Database: A Step towards Endowing Relational Databases with Artificial Intelligence Capabilities
Rajesh Bordawekar, Bortik Bandyopadhyay, Oded Shmueli
We propose Cognitive Databases, an approach for transparently enabling Artificial Intelligence (AI) capabilities in relational databases. A novel aspect of our design is to first v…
Enabling Cognitive Intelligence Queries in Relational Databases using Low-dimensional Word Embeddings
Rajesh Bordawekar, Oded Shmueli
We apply distributed language embedding methods from Natural Language Processing to assign a vector to each database entity associated token (for example, a token may be a word occ…