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09/05/2023
Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data
Existing approaches to automatic data transformation are insufficient to...
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07/12/2023
DeepMapping: The Case for Learned Data Mapping for Compression and Efficient Query Processing
Storing tabular data in a way that balances storage and query efficienci...
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02/09/2023
A Comparison of Decision Forest Inference Platforms from A Database Perspective
Decision forest, including RandomForest, XGBoost, and LightGBM, is one o...
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06/01/2022
Benchmark of DNN Model Search at Deployment Time
Deep learning has become the most popular direction in machine learning ...
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01/25/2022
Serving Deep Learning Models with Deduplication from Relational Databases
There are significant benefits to serve deep learning models from relati...
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10/15/2020
Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning
Data is the king in the age of AI. However data integration is often a l...
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10/13/2020
It's the Best Only When It Fits You Most: Finding Related Models for Serving Based on Dynamic Locality Sensitive Hashing
In recent, deep learning has become the most popular direction in machin...
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09/01/2020
Tensor Relational Algebra for Machine Learning System Design
Machine learning (ML) systems have to support various tensor operations....
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06/30/2020
Lachesis: Automated Generation of Persistent Partitionings for UDF-Centric Analytics
Persistent partitioning is effective in avoiding expensive shuffling ope...
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04/25/2019
Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning
A number of popular systems, most notably Google's TensorFlow, have been...
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08/18/2018
Pangea: Monolithic Distributed Storage for Data Analytics
Storage and memory systems for modern data analytics are heavily layered...
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11/15/2017
