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aiDM@SIGMOD
2018
2021
2024
2018
2024
Keyphrases
Publications
2024
Amadou Latyr Ngom
,
Tim Kraska
Mallet: SQL Dialect Translation with LLM Rule Generation.
aiDM@SIGMOD
(2024)
Hasan M. Jamil
Smart Science Needs Linked Open Data with a Dash of Large Language Models and Extended Relations.
aiDM@SIGMOD
(2024)
Proceedings of the Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2024, Santiago, Chile, 14 June 2024
aiDM@SIGMOD
(2024)
Jan-Micha Bodensohn
,
Carsten Binnig
Rethinking Table Retrieval from Data Lakes.
aiDM@SIGMOD
(2024)
Jenny Gao
,
Jialin Ding
,
Sivaprasad Sudhir
,
Samuel Madden
Learning Bit Allocations for Z-Order Layouts in Analytic Data Systems.
aiDM@SIGMOD
(2024)
Zixuan Yi
,
Yao Tian
,
Zachary G. Ives
,
Ryan Marcus
Low Rank Approximation for Learned Query Optimization.
aiDM@SIGMOD
(2024)
2023
Matthias Urban
,
Duc Dat Nguyen
,
Carsten Binnig
OmniscientDB: A Large Language Model-Augmented DBMS That Knows What Other DBMSs Do Not Know.
aiDM@SIGMOD
(2023)
Damjan Gjurovski
,
Sebastian Michel
Tuple Bubbles: Learned Tuple Representations for Tunable Approximate Query Processing.
aiDM@SIGMOD
(2023)
Mohamed Abdelaal
,
Rashmi Koparde
,
Harald Schöning
AutoCure: Automated Tabular Data Curation Technique for ML Pipelines.
aiDM@SIGMOD
(2023)
Zhitao Gong
,
Wenlu Wang
Adversarial and Clean Data Are Not Twins.
aiDM@SIGMOD
(2023)
Proceedings of the Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM@SIGMOD 2023, Seattle, WA, USA, 18 June 2023
aiDM@SIGMOD
(2023)
Pratyush Agnihotri
,
Boris Koldehofe
,
Carsten Binnig
,
Manisha Luthra
Zero-Shot Cost Models for Parallel Stream Processing.
aiDM@SIGMOD
(2023)
Keizo Hori
,
Yuya Sasaki
,
Daichi Amagata
,
Yuki Murosaki
,
Makoto Onizuka
Learned Spatial Data Partitioning.
aiDM@SIGMOD
(2023)
2022
aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, Philadelphia, Pennsylvania, USA, 17 June 2022
aiDM@SIGMOD
(2022)
Andreas Kipf
,
Dominik Horn
,
Pascal Pfeil
,
Ryan Marcus
,
Tim Kraska
LSI: a learned secondary index structure.
aiDM@SIGMOD
(2022)
Tamer Eldeeb
,
Zhengneng Chen
,
Asaf Cidon
,
Junfeng Yang
Neuroshard: towards automatic multi-objective sharding with deep reinforcement learning.
aiDM@SIGMOD
(2022)
Mikkel Møller Andersen
,
Pinar Tözün
Micro-architectural analysis of a learned index.
aiDM@SIGMOD
(2022)
Michal Zwolak
,
Zainab Abbas
,
Sonia Horchidan
,
Paris Carbone
,
Vasiliki Kalavri
: bounding the state of streaming graph partitioning.
aiDM@SIGMOD
(2022)
Jin Wang
,
Yuliang Li
,
Wataru Hirota
,
Eser Kandogan
Machop: an end-to-end generalized entity matching framework.
aiDM@SIGMOD
(2022)
2021
aiDM '21: Fourth Workshop in Exploiting AI Techniques for Data Management, Virtual Event, China, 25 June, 2021.
aiDM@SIGMOD
(2021)
Martin Eppert
,
Philipp Fent
,
Thomas Neumann
A Tailored Regression for Learned Indexes: Logarithmic Error Regression.
aiDM@SIGMOD
(2021)
Lujing Cen
,
Andreas Kipf
,
Ryan Marcus
,
Tim Kraska
LEA: A Learned Encoding Advisor for Column Stores.
aiDM@SIGMOD
(2021)
Aurélien Personnaz
,
Sihem Amer-Yahia
,
Laure Berti-Équille
,
Maximilian Fabricius
,
Srividya Subramanian
Balancing Familiarity and Curiosity in Data Exploration with Deep Reinforcement Learning.
aiDM@SIGMOD
(2021)
Michael Günther
,
Maik Thiele
,
Julius Gonsior
,
Wolfgang Lehner
Pre-Trained Web Table Embeddings for Table Discovery.
aiDM@SIGMOD
(2021)
Mayank Mishra
,
Rekha Singhal
RUSLI: Real-time Updatable Spline Learned Index.
aiDM@SIGMOD
(2021)
Mohan Zhang
,
Oliver Schulte
,
Yudong Luo
Leveraging Approximate Constraints for Localized Data Error Detection.
aiDM@SIGMOD
(2021)
2020
Proceedings of the Third International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM@SIGMOD 2020, Portland, Oregon, USA, June 19, 2020.
aiDM@SIGMOD
(2020)
Andreas Kipf
,
Ryan Marcus
,
Alexander van Renen
,
Mihail Stoian
,
Alfons Kemper
,
Tim Kraska
,
Thomas Neumann
RadixSpline: a single-pass learned index.
aiDM@SIGMOD
(2020)
Zhiwei Fan
,
Rathijit Sen
,
Paraschos Koutris
,
Aws Albarghouthi
Automated tuning of query degree of parallelism via machine learning.
aiDM@SIGMOD
(2020)
Lucas Woltmann
,
Claudio Hartmann
,
Dirk Habich
,
Wolfgang Lehner
Best of both worlds: combining traditional and machine learning models for cardinality estimation.
aiDM@SIGMOD
(2020)
Ahmed S. Abdelhamid
,
Walid G. Aref
PartLy: learning data partitioning for distributed data stream processing.
aiDM@SIGMOD
(2020)
Runsheng Benson Guo
,
Khuzaima Daudjee
Research challenges in deep reinforcement learning-based join query optimization.
aiDM@SIGMOD
(2020)
Vahid Ghadakchi
,
Mian Xie
,
Arash Termehchy
Bandit join: preliminary results.
aiDM@SIGMOD
(2020)
2019
Yangjun Sheng
,
Anthony Tomasic
,
Tieying Zhang
,
Andrew Pavlo
Scheduling OLTP transactions via learned abort prediction.
aiDM@SIGMOD
(2019)
Raul Castro Fernandez
,
Samuel Madden
Termite: a system for tunneling through heterogeneous data.
aiDM@SIGMOD
(2019)
Lucas Woltmann
,
Claudio Hartmann
,
Maik Thiele
,
Dirk Habich
,
Wolfgang Lehner
Cardinality estimation with local deep learning models.
aiDM@SIGMOD
(2019)
Liqi Xu
,
Richard L. Cole
,
Daniel Ting
Learning to optimize federated queries.
aiDM@SIGMOD
(2019)
Vincenzo Di Cicco
,
Donatella Firmani
,
Nick Koudas
,
Paolo Merialdo
,
Divesh Srivastava
Interpreting deep learning models for entity resolution: an experience report using LIME.
aiDM@SIGMOD
(2019)
Bhavya Karki
,
Fan Hu
,
Nithin Haridas
,
Suhail Barot
,
Zihua Liu
,
Lucile Callebert
,
Matthias Grabmair
,
Anthony Tomasic
Question answering via web extracted tables.
aiDM@SIGMOD
(2019)
Benjamin Hilprecht
,
Carsten Binnig
,
Uwe Röhm
Towards learning a partitioning advisor with deep reinforcement learning.
aiDM@SIGMOD
(2019)
Ali Hadian
,
Thomas Heinis
Considerations for handling updates in learned index structures.
aiDM@SIGMOD
(2019)
Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM@SIGMOD 2019, Amsterdam, The Netherlands, July 5, 2019
aiDM@SIGMOD
(2019)
2018
Ed Seabolt
,
Eser Kandogan
,
Mary Roth
Contextual Intelligence for Unified Data Governance.
aiDM@SIGMOD
(2018)
Gabriel Campero Durand
,
Marcus Pinnecke
,
Rufat Piriyev
,
Mahmoud Mohsen
,
David Broneske
,
Gunter Saake
,
Maya S. Sekeran
,
Fabián Rodriguez
,
Laxmi Balami
GridFormation: Towards Self-Driven Online Data Partitioning using Reinforcement Learning.
aiDM@SIGMOD
(2018)
Kouki Kawabata
,
Yasuko Matsubara
,
Yasushi Sakurai
StreamScope: Automatic Pattern Discovery over Data Streams.
aiDM@SIGMOD
(2018)
Tova Milo
,
Amit Somech
Deep Reinforcement-Learning Framework for Exploratory Data Analysis.
aiDM@SIGMOD
(2018)
Proceedings of the First International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM@SIGMOD 2018, Houston, TX, USA, June 10, 2018
aiDM@SIGMOD
(2018)
Ryan Marcus
,
Olga Papaemmanouil
Deep Reinforcement Learning for Join Order Enumeration.
aiDM@SIGMOD
(2018)