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aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management
ACM2022 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
SIGMOD/PODS '22: International Conference on Management of Data Philadelphia Pennsylvania 17 June 2022
ISBN:
978-1-4503-9377-5
Published:
11 August 2022
Sponsors:
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Reflects downloads up to 17 Jan 2025Bibliometrics
Abstract

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research-article
Public Access
Neuroshard: towards automatic multi-objective sharding with deep reinforcement learning
Article No.: 1, Pages 1–12https://doi.org/10.1145/3533702.3534908

Large databases whose data does not fit on a single server need to shard their rows across multiple different database instances. Distributed transactions are significantly more expensive than local transactions, so a popular approach is to collect a ...

research-article
Machop: an end-to-end generalized entity matching framework
Article No.: 2, Pages 1–10https://doi.org/10.1145/3533702.3534910

Real-world applications frequently seek to solve a general form of the Entity Matching (EM) problem to find associated entities. Such scenarios include matching jobs to candidates in job targeting, matching students with courses in online education, ...

research-article
Open Access
GCNSplit: bounding the state of streaming graph partitioning
Article No.: 3, Pages 1–12https://doi.org/10.1145/3533702.3534920

This paper introduces GCNSplit, a streaming graph partitioning framework capable of handling unbounded streams with bounded state requirements. We frame partitioning as a classification problem and we employ an unsupervised model whose loss function ...

short-paper
Open Access
LSI: a learned secondary index structure
Article No.: 4, Pages 1–5https://doi.org/10.1145/3533702.3534912

Learned index structures have been shown to achieve favorable lookup performance and space consumption compared to their traditional counterparts such as B-trees. However, most learned index studies have focused on the primary indexing setting, where ...

research-article
Micro-architectural analysis of a learned index
Article No.: 5, Pages 1–12https://doi.org/10.1145/3533702.3534917

Since the publication of The Case for Learned Index Structures in 2018 [26], there has been a rise in research that focuses on learned indexes for different domains and with different functionalities. While the effectiveness of learned indexes as an ...

Contributors
  • IBM Thomas J. Watson Research Center
  • Technion - Israel Institute of Technology
  • Bar-Ilan University
  • Sapienza University of Rome
  • University of Pennsylvania

Index Terms

  1. Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management
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          Acceptance Rates

          Overall Acceptance Rate 19 of 26 submissions, 73%
          YearSubmittedAcceptedRate
          aiDM '2066100%
          aiDM '1912867%
          aiDM'188563%
          Overall261973%