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08/30/2023
Large Language Models as Data Preprocessors
Large Language Models (LLMs), typified by OpenAI's GPT series and Meta's...
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08/21/2023
"Guinea Pig Trials" Utilizing GPT: A Novel Smart Agent-Based Modeling Approach for Studying Firm Competition and Collusion
Firm competition and collusion involve complex dynamics, particularly wh...
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03/31/2023
Scardina: Scalable Join Cardinality Estimation by Multiple Density Estimators
In recent years, machine learning-based cardinality estimation methods a...
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12/15/2022
DeepJoin: Joinable Table Discovery with Pre-trained Language Models
Due to the usefulness in data enrichment for data analysis tasks, joinab...
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11/10/2022
Ultraverse: Efficient Retroactive Operation for Attack Recovery in Database Systems and Web Frameworks
Retroactive operation is an operation that changes a past operation in a...
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06/27/2022
An Empirical Study of Personalized Federated Learning
Federated learning is a distributed machine learning approach in which a...
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01/30/2022
Similarity Search on Computational Notebooks
Computational notebook software such as Jupyter Notebook is popular for ...
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10/15/2021
FedMe: Federated Learning via Model Exchange
Federated learning is a distributed machine learning method in which a s...
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10/26/2020
Efficient Joinable Table Discovery in Data Lakes: A High-Dimensional Similarity-Based Approach
Finding joinable tables in data lakes is key procedure in many applicati...
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06/09/2020
Fast Subtrajectory Similarity Search in Road Networks under Weighted Edit Distance Constraints
In this paper, we address a similarity search problem for spatial trajec...
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05/20/2020
Consistent and Flexible Selectivity Estimation for High-dimensional Data
Selectivity estimation aims at estimating the number of database objects...
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02/15/2020
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach
Due to the outstanding capability of capturing underlying data distribut...
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04/04/2018