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ORCIDProceedings of the ACM on Management of Data, Volume 2
Volume 2, Number 1, February 2024
- Divy Agrawal
, Alexandra Meliou, S. Sudarshan:
PACMMOD Volume 2 Issue 1: Editorial. 1:1-1:2 - David C. Y. Chu, Rithvik Panchapakesan, Shadaj Laddad, Lucky E. Katahanas, Chris Liu, Kaushik Shivakumar, Natacha Crooks, Joseph M. Hellerstein, Heidi Howard:
Optimizing Distributed Protocols with Query Rewrites. 2:1-2:25 - Marco Costa, Paolo Ferragina, Giorgio Vinciguerra:
Grafite: Taming Adversarial Queries with Optimal Range Filters. 3:1-3:23 - Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello:
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. 4:1-4:27 - Siyuan Zhang, Zhenying He, Yinan Jing, Kai Zhang, X. Sean Wang:
MWP: Multi-Window Parallel Evaluation of Regular Path Queries on Streaming Graphs. 5:1-5:26 - Yinzhao Yan, Raymond Chi-Wing Wong:
Proximity Queries on Point Clouds using Rapid Construction Path Oracle. 6:1-6:26 - Kaixin Wang, Kaiqiang Yu, Cheng Long:
Efficient k-Clique Listing: An Edge-Oriented Branching Strategy. 7:1-7:26 - Shuai An, Yang Cao:
Relative Keys: Putting Feature Explanation into Context. 8:1-8:28 - Si Liu, Luca Multazzu, Hengfeng Wei, David A. Basin:
NOC-NOC: Towards Performance-optimal Distributed Transactions. 9:1-9:25 - Yihang Zheng, Chen Lin, Xian Lyu, Xuanhe Zhou, Guoliang Li, Tianqing Wang:
Robustness of Updatable Learning-based Index Advisors against Poisoning Attack. V2mod010:1-V2mod010:26 - Xinyi Zhang, Qichen Wang, Cheng Xu, Yun Peng, Jianliang Xu:
FedKNN: Secure Federated k-Nearest Neighbor Search. V2mod011:1-V2mod011:26 - Haojie Ji, Kun Xie, Jigang Wen, Qingyi Zhang, Gaogang Xie, Wei Liang:
FineMon: An Innovative Adaptive Network Telemetry Scheme for Fine-Grained, Multi-Metric Data Monitoring with Dynamic Frequency Adjustment and Enhanced Data Recovery. V2mod012:1-V2mod012:26 - Xianzhi Zeng, Shuhao Zhang, Hongbin Zhong, Hao Zhang, Mian Lu, Zhao Zheng, Yuqiang Chen:
PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation. V2mod013:1-V2mod013:24 - Mengzhao Wang, Weizhi Xu, Xiaomeng Yi, Songlin Wu, Zhangyang Peng, Xiangyu Ke, Yunjun Gao, Xiaoliang Xu, Rentong Guo, Charles Xie:
Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment. V2mod014:1-V2mod014:27 - Yingze Li, Hongzhi Wang, Xianglong Liu:
One Seed, Two Birds: A Unified Learned Structure for Exact and Approximate Counting. 15:1-15:26 - Amir Shaikhha, Dan Suciu, Maximilian Schleich, Hung Q. Ngo:
Optimizing Nested Recursive Queries. 16:1-16:27 - Yesdaulet Izenov, Asoke Datta, Brian Tsan, Florin Rusu:
Sub-optimal Join Order Identification with L1-error. 17:1-17:24 - Yasuhiro Fujiwara, Atsutoshi Kumagai, Yasutoshi Ida, Masahiro Nakano, Makoto Nakatsuji, Akisato Kimura:
Efficient Algorithm for K-Multiple-Means. 18:1-18:26 - Yanchao Xu, Dongxiang Zhang, Shuhao Zhang, Sai Wu, Zexu Feng, Gang Chen:
Predictive and Near-Optimal Sampling for View Materialization in Video Databases. 19:1-19:27 - George Christodoulou, Panagiotis Bouros, Nikos Mamoulis:
LIT: Lightning-fast In-memory Temporal Indexing. 20:1-20:27 - Junran Yang, Hyekang Kevin Joo, Sai S. Yerramreddy, Dominik Moritz, Leilani Battle:
Optimizing Dataflow Systems for Scalable Interactive Visualization. 21:1-21:25 - Yuanyuan Zeng, Yixiang Fang, Chenhao Ma, Xu Zhou, Kenli Li:
Efficient Distributed Hop-Constrained Path Enumeration on Large-Scale Graphs. 22:1-22:25 - Renchi Yang, Jieming Shi:
Efficient High-Quality Clustering for Large Bipartite Graphs. 23:1-23:27 - Arash Dargahi Nobari, Davood Rafiei:
DTT: An Example-Driven Tabular Transformer for Joinability by Leveraging Large Language Models. 24:1-24:24 - Ziling Chen, Haoquan Guan, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang:
Determining Exact Quantiles with Randomized Summaries. 25:1-25:26 - Pinghui Wang, Yitong Liu, Zhicheng Li, Rundong Li:
An LDP Compatible Sketch for Securely Approximating Set Intersection Cardinalities. 26:1-26:27 - Jifan Shi, Biao Wang, Yun Xu:
Spruce: a Fast yet Space-saving Structure for Dynamic Graph Storage. 27:1-27:26 - Tongyu Liu, Ju Fan, Nan Tang, Guoliang Li, Xiaoyong Du:
Controllable Tabular Data Synthesis Using Diffusion Models. 28:1-28:29 - Boyu Yang, Weiguo Zheng, Xiang Lian, Yuzheng Cai, X. Sean Wang:
HERO: A Hierarchical Set Partitioning and Join Framework for Speeding up the Set Intersection Over Graphs. 29:1-29:25 - Xiaochen Li, Weiran Liu, Jian Lou, Yuan Hong, Lei Zhang, Zhan Qin, Kui Ren:
Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory. 30:1-30:27 - Xiangpeng Hao, Xinjing Zhou, Xiangyao Yu, Michael Stonebraker:
Towards Buffer Management with Tiered Main Memory. 31:1-31:26 - Jessica Shi, Laxman Dhulipala, Julian Shun:
Parallel Algorithms for Hierarchical Nucleus Decomposition. 32:1-32:27 - Chang Ye, Yuchen Li, Shixuan Sun, Wentian Guo:
gSWORD: GPU-accelerated Sampling for Subgraph Counting. 33:1-33:26 - Juanru Fang, Ke Yi:
Privacy Amplification by Sampling under User-level Differential Privacy. 34:1-34:26 - Lei Rui, Xiangdong Huang, Shaoxu Song, Yuyuan Kang, Chen Wang, Jianmin Wang:
Time Series Representation for Visualization in Apache IoTDB. 35:1-35:26 - Matthias Jasny, Lasse Thostrup, Sajjad Tamimi, Andreas Koch, Zsolt István, Carsten Binnig:
Zero-sided RDMA: Network-driven Data Shuffling for Disaggregated Heterogeneous Cloud DBMSs. 36:1-36:28 - Jintao Zhang, Chao Zhang, Guoliang Li, Chengliang Chai:
PACE: Poisoning Attacks on Learned Cardinality Estimation. 37:1-37:27 - Peizhi Wu, Zachary G. Ives:
Modeling Shifting Workloads for Learned Database Systems. 38:1-38:27 - Diego Arroyuelo, Benjamin Bustos, Adrián Gómez-Brandón, Aidan Hogan, Gonzalo Navarro, Juan L. Reutter:
Worst-Case-Optimal Similarity Joins on Graph Databases. 39:1-39:26 - Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao:
View-based Explanations for Graph Neural Networks. 40:1-40:27 - Liang Liang, Guang Yang, Ali Hadian, Luis Alberto Croquevielle, Thomas Heinis:
SWIX: A Memory-efficient Sliding Window Learned Index. 41:1-41:26 - Kyoseung Koo, Sohyun Kim, Wonhyeon Kim, Yoojin Choi, Juhee Han, Bogyeong Kim, Bongki Moon:
PreVision: An Out-of-Core Matrix Computation System with Optimal Buffer Replacement. 42:1-42:25 - Tobias Bleifuß, Thorsten Papenbrock, Thomas Bläsius, Martin Schirneck, Felix Naumann:
Discovering Functional Dependencies through Hitting Set Enumeration. 43:1-43:24 - Tim Schwabe, Maribel Acosta:
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks. 44:1-44:26 - Kyoungmin Kim, Sangoh Lee, Injung Kim, Wook-Shin Han:
ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation. 45:1-45:27 - Yiming Lin, Sharad Mehrotra:
PLAQUE: Automated Predicate Learning at Query Time. 46:1-46:25 - Subarna Chatterjee, Mark F. Pekala, Lev Kruglyak, Stratos Idreos:
Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines. 47:1-47:28 - Luca Zecchini, Tobias Bleifuß, Giovanni Simonini, Sonia Bergamaschi, Felix Naumann:
Determining the Largest Overlap between Tables. 48:1-48:26 - Meghdad Kurmanji, Eleni Triantafillou, Peter Triantafillou:
Machine Unlearning in Learned Databases: An Experimental Analysis. 49:1-49:26 - Matteo Brucato, Tarique Siddiqui, Wentao Wu, Vivek R. Narasayya, Surajit Chaudhuri:
Wred: Workload Reduction for Scalable Index Tuning. 50:1-50:26 - Hailin Zhang, Zirui Liu, Boxuan Chen, Yikai Zhao, Tong Zhao, Tong Yang, Bin Cui:
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models. 51:1-51:28 - Utku Sirin, Stratos Idreos:
The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format. 52:1-52:31 - Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian:
Sibyl: Forecasting Time-Evolving Query Workloads. 53:1-53:27 - Mehmet Aytimur, Silvan Reiner, Leonard Wörteler, Theodoros Chondrogiannis, Michael Grossniklaus:
LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries. 54:1-54:25 - Tiemo Bang, Chris Douglas, Natacha Crooks, Joseph M. Hellerstein:
SkyPIE: A Fast & Accurate Oracle for Object Placement. 55:1-55:27 - Xuan Luo, Jian Pei, Cheng Xu, Wenjie Zhang, Jianliang Xu:
Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games. 56:1-56:28 - Yiyuan Chen, Shimin Chen:
Cabin: A Compressed Adaptive Binned Scan Index. 57:1-57:26 - Stefanos Baziotis, Daniel D. Kang, Charith Mendis:
Dias: Dynamic Rewriting of Pandas Code. 58:1-58:27 - Jesús Camacho-Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan:
LST-Bench: Benchmarking Log-Structured Tables in the Cloud. 59:1-59:26 - Zhijie Zhang, Yujie Lu, Weiguo Zheng, Xuemin Lin:
A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction. 60:1-60:29 - Wolfgang Gatterbauer, Cody Dunne:
On The Reasonable Effectiveness of Relational Diagrams: Explaining Relational Query Patterns and the Pattern Expressiveness of Relational Languages. 61:1-61:27 - Jiaming Liang, Lei Cao, Samuel Madden, Zack Ives, Guoliang Li:
RITA: Group Attention is All You Need for Timeseries Analytics. 62:1-62:28 - Lijun Chang, Kai Yao:
Maximum k-Plex Computation: Theory and Practice. 63:1-63:26 - Gansen Hu, Zhaoguo Wang, Chuzhe Tang, Jiahuan Shen, Zhiyuan Dong, Sheng Yao, Haibo Chen:
WeBridge: Synthesizing Stored Procedures for Large-Scale Real-World Web Applications. 64:1-64:29 - Yihao Liu, Xinyu Zeng, Huanchen Zhang:
LeCo: Lightweight Compression via Learning Serial Correlations. 65:1-65:28 - Brian Tsan, Asoke Datta, Yesdaulet Izenov, Florin Rusu:
Approximate Sketches. 66:1-66:24 - Wonseok Lee, Jaehyun Ha, Wook-Shin Han, Changgyoo Park, Myunggon Park, Juhyeng Han, Juchang Lee:
DoppelGanger++: Towards Fast Dependency Graph Generation for Database Replay. 67:1-67:26 - Jingzhi Fang, Yanyan Shen, Yue Wang, Lei Chen:
STile: Searching Hybrid Sparse Formats for Sparse Deep Learning Operators Automatically. 68:1-68:26 - Chaoji Zuo, Miao Qiao, Wenchao Zhou, Feifei Li, Dong Deng:
SeRF: Segment Graph for Range-Filtering Approximate Nearest Neighbor Search. 69:1-69:26 - Massimo Perini, Milos Nikolic:
In-Database Data Imputation. 70:1-70:27 - Brit Youngmann, Michael J. Cafarella, Amir Gilad, Sudeepa Roy:
Summarized Causal Explanations For Aggregate Views. 71:1-71:27 - Roni Copul, Nave Frost, Tova Milo, Kathy Razmadze:
TabEE: Tabular Embeddings Explanations. 72:1-72:26
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