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SIGMOD 2024

A*

ACM Conference on Management of Data

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311
accepted papers
295
authors
June 11-16, 2024
dates
Chile
location

311 / 311 papers

  1. 1
    A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction
    Zhijie Zhang
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  2. 2
    A Counting-based Approach for Efficient k-Clique Densest Subgraph Discovery
    Yingli Zhou
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  3. 3
    A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System
    Jiale Lao
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  4. 4
    A Lovász-Simonovits Theorem for Hypergraphs with Application to Local Clustering
    Raj Kamal
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  5. 5
    A Profit-Maximizing Data Marketplace with Differentially Private Federated Learning under Price Competition
    Peng Sun
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  6. 6
    A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded Deletions
    Liang Zheng
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  7. 7
    ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data
    Liana Patel
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  8. 8
    Adaptive Quotient Filters
    Richard Wen
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  9. 9
    AI for Systems
    Carlo Curino
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  10. 10
    Akane: Perplexity-Guided Time Series Data Cleaning
    Xiaoyu Han
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  11. 11
    Amazon MemoryDB: A Fast and Durable Memory-First Cloud Database
    Yacine Taleb
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  12. 12
    An Efficient and Exact Algorithm for Locally h-Clique Densest Subgraph Discovery
    Xiaojia Xu
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  13. 13
    An LDP Compatible Sketch for Securely Approximating Set Intersection Cardinalities
    Pinghui Wang
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  14. 14
    An Overview of Continuous Querying in (Modern) Data Systems
    Angela Bonifati
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  15. 15
    Apache Arrow DataFusion: A Fast, Embeddable, Modular Analytic Query Engine
    Andrew Lamb
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  16. 16
    Applications and Computation of the Shapley Value in Databases and Machine Learning
    Xuan Luo
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  17. 17
    Approximate Sketches
    Brian Tsan
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  18. 18
    ASM in Action: Fast and Practical Learned Cardinality Estimation
    Sangoh Lee
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  19. 19
    ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation
    Kyoungmin Kim
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  20. 20
    ASQP-RL Demo: Learning Approximation Sets for Exploratory Queries
    Susan B. Davidson
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  21. 21
    Atom: An Efficient Query Serving System for Embedding-based Knowledge Graph Reasoning with Operator-level Batching
    Qihui Zhou
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  22. 22
    Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
    Sibei Chen
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  23. 23
    Automated Clustering Recommendation With Database Zone Maps
    Suratna Budalakoti
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  24. 24
    Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study
    Yang Wu
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  25. 25
    Automated Multidimensional Data Layouts in Amazon Redshift
    Jialin Ding
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  26. 26
    Automating Vectorized Distributed Graph Computation
    Wenyue Zhao
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  27. 27
    Banzhaf Values for Facts in Query Answering
    Omer Abramovich
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  28. 28
    Beyond Bloom: A Tutorial on Future Feature-Rich Filters
    Prashant Pandey
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  29. 29
    BG3: A Cost Effective and I/O Efficient Graph Database in Bytedance
    Wei Zhang
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  30. 30
    BigLake: BigQuery's Evolution toward a Multi-Cloud Lakehouse
    Justin J. Levandoski
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  31. 31
    Bouncer: Admission Control with Response Time Objectives for Low-latency Online Data Systems
    Hao Xu
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  32. 32
    BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data
    Tu Gu
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  33. 33
    Buffered Persistence in B+ Trees
    Mingzhe Du
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  34. 34
    Building Reactive Large Language Model Pipelines with Motion
    Shreya Shankar
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  35. 35
    ByteCard: Enhancing ByteDance's Data Warehouse with Learned Cardinality Estimation
    Yuxing Han
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  36. 36
    CaaS-LSM: Compaction-as-a-Service for LSM-based Key-Value Stores in Storage Disaggregated Infrastructure
    Qiaolin Yu
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  37. 37
    Cabin: A Compressed Adaptive Binned Scan Index
    Yiyuan Chen
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  38. 38
    CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models
    Hailin Zhang
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  39. 39
    CAMAL: Optimizing LSM-trees via Active Learning
    Weiping Yu
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  40. 40
    Camel: Efficient Compression of Floating-Point Time Series
    Yuanyuan Yao
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  41. 41
    Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs
    Minguk Choi
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  42. 42
    Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks
    Tim Schwabe
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  43. 43
    CAVE: Concurrency-Aware Graph Processing on SSDs
    Tarikul Islam Papon
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  44. 44
    Certain and Approximately Certain Models for Statistical Learning
    Cheng Zhen
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  45. 45
    ChatPipe: Orchestrating Data Preparation Pipelines by Optimizing Human-ChatGPT Interactions
    Sibei Chen
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  46. 46
    CodeS: Towards Building Open-source Language Models for Text-to-SQL
    Haoyang Li
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  47. 47
    Cognitive Psychology Meets Data Management: State of the Art and Future Directions
    Sourav S. Bhowmick
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  48. 48
    Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy
    Yizhang He
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  49. 49
    Companion of the 2024 International Conference on Management of Data, SIGMOD/PODS 2024, Santiago, Chile, June 9-15, 2024
    Pablo Barceló
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  50. 50
    Comquest: Large Scale User Comment Crawling and Integration
    Zhijia Chen
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