default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDProceedings of the ACM on Management of Data, Volume 1
Volume 1, Number 1, May 2023
- Divyakant Agrawal
, Sihem Amer-Yahia, K. Selcuk Candan:
PACMMOD V1 N1 Editorial - Welcome to PACMMOD. 1:1-1:8 - Sebastian Baunsgaard, Matthias Boehm:
AWARE: Workload-aware, Redundancy-exploiting Linear Algebra. 2:1-2:28 - Rong-Cheng Tu, Xian-Ling Mao, Kevin Qinghong Lin, Chengfei Cai, Weize Qin, Wei Wei, Hongfa Wang, Heyan Huang:
Unsupervised Hashing with Semantic Concept Mining. 3:1-3:19 - Zheng Chen, Feng Zhang, Jiawei Guan, Jidong Zhai, Xipeng Shen, Huanchen Zhang, Wentong Shu, Xiaoyong Du:
CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression. 4:1-4:31 - Qiang Huang, Pingyi Luo, Anthony K. H. Tung:
A New Sparse Data Clustering Method Based On Frequent Items. 5:1-5:28 - Sihao Hu, Zhen Zhang, Shengliang Lu, Bingsheng He, Zhao Li:
Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump. 6:1-6:19 - Viktor Leis, Adnan Alhomssi, Tobias Ziegler, Yannick Loeck, Christian Dietrich:
Virtual-Memory Assisted Buffer Management. 7:1-7:25 - Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang:
iFlipper: Label Flipping for Individual Fairness. 8:1-8:26 - Aamod Khatiwada, Grace Fan, Roee Shraga, Zixuan Chen, Wolfgang Gatterbauer, Renée J. Miller, Mirek Riedewald:
SANTOS: Relationship-based Semantic Table Union Search. 9:1-9:25 - Yuanpeng Li, Feiyu Wang, Xiang Yu, Yilong Yang, Kaicheng Yang, Tong Yang, Zhuo Ma, Bin Cui, Steve Uhlig:
LadderFilter: Filtering Infrequent Items with Small Memory and Time Overhead. 10:1-10:21 - Shang Liu, Gao Cong, Kaiyu Feng, Wanli Gu, Fuzheng Zhang:
Effectiveness Perspectives and a Deep Relevance Model for Spatial Keyword Queries. 11:1-11:25 - Tatiana Jin, Boyang Li, Yichao Li, Qihui Zhou, Qianli Ma, Yunjian Zhao, Hongzhi Chen, James Cheng:
Circinus: Fast Redundancy-Reduced Subgraph Matching. 12:1-12:26 - Zhuoxing Zhang, Wu Chen, Sebastian Link:
Composite Object Normal Forms: Parameterizing Boyce-Codd Normal Form by the Number of Minimal Keys. 13:1-13:25 - Bo Huang, Victor Junqiu Wei, Raymond Chi-Wing Wong, Bo Tang:
EAR-Oracle: On Efficient Indexing for Distance Queries between Arbitrary Points on Terrain Surface. 14:1-14:26 - Rongjian Yang, Zhijie Zhang, Weiguo Zheng, Jeffrey Xu Yu:
Fast Continuous Subgraph Matching over Streaming Graphs via Backtracking Reduction. 15:1-15:26 - Renchi Yang, Jing Tang:
Efficient Estimation of Pairwise Effective Resistance. 16:1-16:27 - Chengyu Wang, Kui Wu, Tongqing Zhou, Zhiping Cai:
Time2State: An Unsupervised Framework for Inferring the Latent States in Time Series Data. 17:1-17:18 - Hanmo Liu, Shimin Di, Lei Chen:
Incremental Tabular Learning on Heterogeneous Feature Space. 18:1-18:18 - Aunn Raza, Periklis Chrysogelos, Angelos-Christos G. Anadiotis, Anastasia Ailamaki:
One-shot Garbage Collection for In-memory OLTP through Temporality-aware Version Storage. 19:1-19:25 - Lei Cao, Yizhou Yan, Yu Wang, Samuel Madden, Elke A. Rundensteiner:
AutoOD: Automatic Outlier Detection. 20:1-20:27 - Ritesh Ahuja, Sepanta Zeighami, Gabriel Ghinita, Cyrus Shahabi:
A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy. 21:1-21:25 - Haoyue Ping, Julia Stoyanovich:
Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences. 22:1-22:25 - Chenguang Fang, Shaoxu Song, Haoquan Guan, Xiangdong Huang, Chen Wang, Jianmin Wang:
Grouping Time Series for Efficient Columnar Storage. 23:1-23:26 - Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen:
How To Optimize My Blockchain? A Multi-Level Recommendation Approach. 24:1-24:27 - Guanhao Hou, Qintian Guo, Fangyuan Zhang, Sibo Wang, Zhewei Wei:
Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme. 25:1-25:26 - Yang Cao, Wenfei Fan, Weijie Ou, Rui Xie, Wenyue Zhao:
Transaction Scheduling: From Conflicts to Runtime Conflicts. 26:1-26:26 - Tianhao Wu, Ji Cheng, Chaorui Zhang, Jianfeng Hou, Gengjian Chen, Zhongyi Huang, Weixi Zhang, Wei Han, Bo Bai:
ClipSim: A GPU-friendly Parallel Framework for Single-Source SimRank with Accuracy Guarantee. 27:1-27:26 - Fang Wang, Xiao Yan, Man Lung Yiu, Shuai Li, Zunyao Mao, Bo Tang:
Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation. 28:1-28:25 - Lasse Thostrup, Gloria Doci, Nils Boeschen, Manisha Luthra, Carsten Binnig:
Distributed GPU Joins on Fast RDMA-capable Networks. 29:1-29:26 - Madelon Hulsebos, Çagatay Demiralp, Paul Groth:
GitTables: A Large-Scale Corpus of Relational Tables. 30:1-30:17 - Yifan Li, Xiaohui Yu, Nick Koudas, Shu Lin, Calvin Sun, Chong Chen:
dbET: Execution Time Distribution-based Plan Selection. 31:1-31:26 - Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He:
Ground Truth Inference for Weakly Supervised Entity Matching. 32:1-32:28 - Meghdad Kurmanji, Peter Triantafillou:
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data. 33:1-33:27 - Zhibin Wang, Longbin Lai, Yixue Liu, Bing Shui, Chen Tian, Sheng Zhong:
I/O-Efficient Butterfly Counting at Scale. 34:1-34:27 - Yuxiang Zeng, Yongxin Tong, Lei Chen:
LiteHST: A Tree Embedding based Method for Similarity Search. 35:1-35:26 - Thanasis Georgiadis, Nikos Mamoulis:
Raster Intervals: An Approximation Technique for Polygon Intersection Joins. 36:1-36:18 - Maximilian Schleich, Amir Shaikhha, Dan Suciu:
Optimizing Tensor Programs on Flexible Storage. 37:1-37:27 - Zhiwei Fan, Paraschos Koutris, Xiating Ouyang, Jef Wijsen:
LinCQA: Faster Consistent Query Answering with Linear Time Guarantees. 38:1-38:25 - Efthymia Tsamoura, Jaehun Lee, Jacopo Urbani:
Probabilistic Reasoning at Scale: Trigger Graphs to the Rescue. 39:1-39:27 - Christoforos Svingos, André Hernich, Hinnerk Gildhoff, Yannis Papakonstantinou, Yannis E. Ioannidis:
Foreign Keys Open the Door for Faster Incremental View Maintenance. 40:1-40:25 - Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden:
FactorJoin: A New Cardinality Estimation Framework for Join Queries. 41:1-41:27 - Bar Genossar, Roee Shraga, Avigdor Gal:
FlexER: Flexible Entity Resolution for Multiple Intents. 42:1-42:27 - Nuno Faria, José Pereira:
MRVs: Enforcing Numeric Invariants in Parallel Updates to Hotspots with Randomized Splitting. 43:1-43:27 - Chenhao Ye, Wuh-Chwen Hwang, Keren Chen, Xiangyao Yu:
Polaris: Enabling Transaction Priority in Optimistic Concurrency Control. 44:1-44:24 - Kaixin Liu, Sibo Wang, Yong Zhang, Chunxiao Xing:
An Efficient Algorithm for Distance-based Structural Graph Clustering. 45:1-45:25 - Alex Conway, Martin Farach-Colton, Rob Johnson:
SplinterDB and Maplets: Improving the Tradeoffs in Key-Value Store Compaction Policy. 46:1-46:27 - Prashant Pandey, Michael A. Bender, Alex Conway, Martin Farach-Colton, William Kuszmaul, Guido Tagliavini, Rob Johnson:
IcebergHT: High Performance Hash Tables Through Stability and Low Associativity. 47:1-47:26 - Jiayao Zhang, Qiheng Sun, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren:
Efficient Sampling Approaches to Shapley Value Approximation. 48:1-48:24 - Kaiqiang Yu, Cheng Long:
Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching Approach. 49:1-49:26 - Yangxin Fan, Xuanji Yu, Raymond Wieser, David Meakin, Avishai Shaton, Jean-Nicolas Jaubert, Robert Flottemesch, Michael Howell, Jennifer Braid, Laura S. Bruckman, Roger H. French, Yinghui Wu:
Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Data Imputation. 50:1-50:19 - Kai Huang, Haibo Hu, Qingqing Ye, Kai Tian, Bolong Zheng, Xiaofang Zhou:
TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. 51:1-51:26 - Yiming Li, Yanyan Shen, Lei Chen, Mingxuan Yuan:
Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees. 52:1-52:27 - Kyle B. Deeds, Dan Suciu, Magdalena Balazinska:
SafeBound: A Practical System for Generating Cardinality Bounds. 53:1-53:26 - Yun Peng, Byron Choi, Tsz Nam Chan, Jianye Yang, Jianliang Xu:
Efficient Approximate Nearest Neighbor Search in Multi-dimensional Databases. 54:1-54:27 - Xiu Tang, Sai Wu, Dongxiang Zhang, Feifei Li, Gang Chen:
Detecting Logic Bugs of Join Optimizations in DBMS. 55:1-55:26 - Zirui Liu, Yixin Zhang, Yifan Zhu, Ruwen Zhang, Tong Yang, Kun Xie, Sha Wang, Tao Li, Bin Cui:
TreeSensing: Linearly Compressing Sketches with Flexibility. 56:1-56:28 - Reham Omar, Ishika Dhall, Panos Kalnis, Essam Mansour:
A Universal Question-Answering Platform for Knowledge Graphs. 57:1-57:25 - Xiaogang Huang, Tiefeng Ma:
Fast Density-Based Clustering: Geometric Approach. 58:1-58:24 - Yancan Mao, Jianjun Zhao, Shuhao Zhang, Haikun Liu, Volker Markl:
MorphStream: Adaptive Scheduling for Scalable Transactional Stream Processing on Multicores. 59:1-59:26 - Pinghui Wang, Chengjin Yang, Dongdong Xie, Junzhou Zhao, Hui Li, Jing Tao, Xiaohong Guan:
An Effective and Differentially Private Protocol for Secure Distributed Cardinality Estimation. 60:1-60:24 - Yuzheng Cai, Siyuan Liu, Weiguo Zheng, Xuemin Lin:
Towards Generating Hop-constrained s-t Simple Path Graphs. 61:1-61:26 - Weixing Zhou, Qi Peng, Zijie Zhang, Yanfeng Zhang, Yang Ren, Sihao Li, Guo Fu, Yulong Cui, Qiang Li, Caiyi Wu, Shangjun Han, Shengyi Wang, Guoliang Li, Ge Yu:
GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database. 62:1-62:27 - Tu Gu, Kaiyu Feng, Gao Cong, Cheng Long, Zheng Wang, Sheng Wang:
The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data. 63:1-63:26 - Peng Jia, Shaofeng Cai, Beng Chin Ooi, Pinghui Wang, Yiyuan Xiong:
Robust and Transferable Log-based Anomaly Detection. 64:1-64:26 - Leon Bornemann, Tobias Bleifuß, Dmitri V. Kalashnikov, Fatemeh Nargesian, Felix Naumann, Divesh Srivastava:
Matching Roles from Temporal Data: Why Joe Biden is not only President, but also Commander-in-Chief. 65:1-65:26 - Olamide Timothy Tawose, Jun Dai, Lei Yang, Dongfang Zhao:
Toward Efficient Homomorphic Encryption for Outsourced Databases through Parallel Caching. 66:1-66:23 - Yiwen Zhu, Rathijit Sen, Robert Horton, John Mark Agosta:
Runtime Variation in Big Data Analytics. 67:1-67:20 - Meihao Liao, Rong-Hua Li, Qiangqiang Dai, Hongyang Chen, Hongchao Qin, Guoren Wang:
Efficient Resistance Distance Computation: The Power of Landmark-based Approaches. 68:1-68:27 - Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang:
Scaling Up k-Clique Densest Subgraph Detection. 69:1-69:26 - Wenfei Fan, Ziyan Han, Yaoshu Wang, Min Xie:
Discovering Top-k Rules using Subjective and Objective Criteria. 70:1-70:29 - Konstantin Emil Thiel, Daniel Kocher, Nikolaus Augsten, Thomas Hütter, Willi Mann, Daniel Ulrich Schmitt:
FINEX: A Fast Index for Exact & Flexible Density-Based Clustering. 71:1-71:25 - Shiyue Huang, Ziwei Wang, Xinyi Zhang, Yaofeng Tu, Zhongliang Li, Bin Cui:
DBPA: A Benchmark for Transactional Database Performance Anomalies. 72:1-72:26 - Immanuel Haffner, Jens Dittrich:
Efficiently Computing Join Orders with Heuristic Search. 73:1-73:26 - Lyuheng Yuan, Da Yan, Wenwen Qu, Saugat Adhikari, Jalal Khalil, Cheng Long, Xiaoling Wang:
T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph. 74:1-74:26 - Youri Kaminsky, Eduardo H. M. Pena, Felix Naumann:
Discovering Similarity Inclusion Dependencies. 75:1-75:24 - Shiqi Zhang, Renchi Yang, Xiaokui Xiao, Xiao Yan, Bo Tang:
Effective and Efficient PageRank-based Positioning for Graph Visualization. 76:1-76:27 - Qiangqiang Dai, Rong-Hua Li, Meihao Liao, Guoren Wang:
Maximal Defective Clique Enumeration. 77:1-77:26 - Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongchao Qin, Guoren Wang:
Efficient Biclique Counting in Large Bipartite Graphs. 78:1-78:26 - Yikai Zhao, Wenchen Han, Zheng Zhong, Yinda Zhang, Tong Yang, Bin Cui:
Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent Items. 79:1-79:26 - Shixun Huang, Junhao Gan, Zhifeng Bao, Wenqing Lin:
Managing Conflicting Interests of Stakeholders in Influencer Marketing. 80:1-80:27 - Feiyu Wang, Qizhi Chen, Yuanpeng Li, Tong Yang, Yaofeng Tu, Lian Yu, Bin Cui:
JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation. 81:1-81:26 - Zhaojing Luo, Shaofeng Cai, Yatong Wang, Beng Chin Ooi:
Regularized Pairwise Relationship based Analytics for Structured Data. 82:1-82:27 - Rana Shahout, Roy Friedman, Ran Ben Basat:
Together is Better: Heavy Hitters Quantile Estimation. 83:1-83:25 - Jianhong Tu, Ju Fan, Nan Tang, Peng Wang, Guoliang Li, Xiaoyong Du, Xiaofeng Jia, Song Gao:
Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration. 84:1-84:26 - Yunxiang Su, Yikun Gong, Shaoxu Song:
Time Series Data Validity. 85:1-85:26 - Wenfei Fan, Wenzhi Fu, Ruochun Jin, Muyang Liu, Ping Lu, Chao Tian:
Making It Tractable to Catch Duplicates and Conflicts in Graphs. 86:1-86:28 - Kaiqi Liu, Panrong Tong, Mo Li, Yue Wu, Jianqiang Huang:
ST4ML: Machine Learning Oriented Spatio-Temporal Data Processing at Scale. 87:1-87:28 - Yuyu Luo, Yihui Zhou, Nan Tang, Guoliang Li, Chengliang Chai, Leixian Shen:
Learned Data-aware Image Representations of Line Charts for Similarity Search. 88:1-88:29 - Chen Dar, Moshik Hershcovitch, Adam Morrison:
RLS Side Channels: Investigating Leakage of Row-Level Security Protected Data Through Query Execution Time. 89:1-89:25 - Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong:
LightRW: FPGA Accelerated Graph Dynamic Random Walks. 90:1-90:27 - Sibei Chen, Nan Tang, Ju Fan, Xuemi Yan, Chengliang Chai, Guoliang Li, Xiaoyong Du:
HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation. 91:1-91:26 - Manuel Schönberger, Stefanie Scherzinger, Wolfgang Mauerer:
Ready to Leap (by Co-Design)? Join Order Optimisation on Quantum Hardware. 92:1-92:27 - Pasquale Balsebre, Dezhong Yao, Gao Cong, Weiming Huang, Zhen Hai:
Mining Geospatial Relationships from Text. 93:1-93:26 - Xuanhe Zhou, Guoliang Li, Jianhua Feng, Luyang Liu, Wei Guo:
Grep: A Graph Learning Based Database Partitioning System. 94:1-94:24 - Chaoyu Chen, Hang Yu, Zhichao Lei, Jianguo Li, Shaokang Ren, Tingkai Zhang, Silin Hu, Jianchao Wang, Wenhui Shi:
BALANCE: Bayesian Linear Attribution for Root Cause Localization. 95:1-95:26 - Xinyu Du, Xingyi Zhang, Sibo Wang, Zengfeng Huang:
Efficient Tree-SVD for Subset Node Embedding over Large Dynamic Graphs. 96:1-96:26 - Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen:
AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. 97:1-97:26 - Ziliang Lai, Chris Liu, Eric Lo:
When Private Blockchain Meets Deterministic Database. 98:1-98:28 - Bruno Barbarioli, Gabriel Mersy, Stavros Sintos, Sanjay Krishnan:
Hierarchical Residual Encoding for Multiresolution Time Series Compression. 99:1-99:26 - Sepanta Zeighami, Cyrus Shahabi, Vatsal Sharan:
NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks. 100:1-100:26 - Samira Akili, Steven Purtzel, Matthias Weidlich:
INEv: In-Network Evaluation for Event Stream Processing. 101:1-101:26 - Guangjing Wang, Nikolay Ivanov, Bocheng Chen, Qi Wang, ThanhVu Nguyen, Qiben Yan:
Graph Learning for Interactive Threat Detection in Heterogeneous Smart Home Rule Data. 102:1-102:27 - Majid Saeedan, Ahmed Eldawy, Zhijia Zhao:
dsJSON: A Distributed SQL JSON Processor. 103:1-103:25 - Xiaoye Miao, Yangyang Wu, Jiazhen Peng, Yunjun Gao, Jianwei Yin:
Efficient and Effective Cardinality Estimation for Skyline Family. 104:1-104:21 - Ke Wang, Guanqun Yang, Yiwei Li, Huanchen Zhang, Mingyu Gao:
When Tree Meets Hash: Reducing Random Reads for Index Structures on Persistent Memories. 105:1-105:26 - Zhengxin Zhang, Qing Li, Guanglin Duan, Dan Zhao, Jingyu Xiao, Guorui Xie, Yong Jiang:
Pontus: Finding Waves in Data Streams. 106:1-106:26 - Rui Fu, Yuncheng Wu, Quanqing Xu, Meihui Zhang:
FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data. 107:1-107:28 - Zhuoxuan Liu, Shimin Chen:
Pea Hash: A Performant Extendible Adaptive Hashing Index. 108:1-108:25 - Lyric Doshi, Vincent Zhuang, Gaurav Jain, Ryan Marcus, Haoyu Huang, Deniz Altinbüken, Eugene Brevdo, Campbell Fraser:
Kepler: Robust Learning for Parametric Query Optimization. 109:1-109:25 - Xiaonan Nie, Xupeng Miao, Zilong Wang, Zichao Yang, Jilong Xue, Lingxiao Ma, Gang Cao, Bin Cui:
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement. 110:1-110:19 - Zeyu Wang, Qitong Wang, Peng Wang, Themis Palpanas, Wei Wang:
Dumpy: A Compact and Adaptive Index for Large Data Series Collections. 111:1-111:27
Volume 1, Number 2, June 2023
- Divyakant Agrawal, Sihem Amer-Yahia, K. Selçuk Candan, Avrilia Floratou, Hakan Hacigümüs:
PACMMOD V1 N2 Editorial. 112:1-112:2 - Chaemin Lim, Suhyun Lee, Jinwoo Choi, Jounghoo Lee, Seongyeon Park, Hanjun Kim, Jinho Lee, Youngsok Kim:
Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs. 113:1-113:27 - Letong Wang, Xiaojun Dong, Yan Gu, Yihan Sun:
Parallel Strong Connectivity Based on Faster Reachability. 114:1-114:29 - Zhiqi Wang, Zili Shao:
ForestTI: A Scalable Inverted-Index-Oriented Timeseries Management System with Flexible Memory Efficiency. 115:1-115:25 - Yiran Li, Renchi Yang, Jieming Shi:
Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation. 116:1-116:23 - Tianyu Li, Badrish Chandramouli, Sebastian Burckhardt, Samuel Madden:
DARQ Matter Binds Everything: Performant and Composable Cloud Programming via Resilient Steps. 117:1-117:27 - Maximilian Kuschewski, David Sauerwein, Adnan Alhomssi, Viktor Leis:
BtrBlocks: Efficient Columnar Compression for Data Lakes. 118:1-118:26 - Zihang Xiang, Tianhao Wang, Wanyu Lin, Di Wang:
Practical Differentially Private and Byzantine-resilient Federated Learning. 119:1-119:26 - Saeed Fathollahzadeh, Matthias Boehm:
GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example. 120:1-120:26 - Mark Blacher, Julien Klaus, Christoph Staudt, Sören Laue, Viktor Leis, Joachim Giesen:
Efficient and Portable Einstein Summation in SQL. 121:1-121:19 - Juntao Zhang, Sheng Wang, Yuan Sun, Zhiyong Peng:
Prerequisite-driven Fair Clustering on Heterogeneous Information Networks. 122:1-122:27 - Wei Dong, Dajun Sun, Ke Yi:
Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy. 123:1-123:26 - Nikhil Sheoran, Supawit Chockchowwat, Arav Chheda, Suwen Wang, Riya Verma, Yongjoo Park:
A Step Toward Deep Online Aggregation. 124:1-124:28 - Zhichen Lai, Dalin Zhang, Huan Li, Christian S. Jensen, Hua Lu, Yan Zhao:
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting. 125:1-125:26 - Xingxing Xiao, Jianzhong Li:
rkHit: Representative Query with Uncertain Preference. 126:1-126:26 - Yajun Yang, Hanxiao Li, Xiangju Zhu, Junhu Wang, Xin Wang, Hong Gao:
HR-Index: An Effective Index Method for Historical Reachability Queries over Evolving Graphs. 127:1-127:25 - Stefan Grafberger, Paul Groth, Sebastian Schelter:
Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines. 128:1-128:26 - Lyu Xu, Byron Choi, Yun Peng, Jianliang Xu, Sourav S. Bhowmick:
A Framework for Privacy Preserving Localized Graph Pattern Query Processing. 129:1-129:27 - Silu Huang, Erkang Zhu, Surajit Chaudhuri, Leonhard Spiegelberg:
T-Rex: Optimizing Pattern Search on Time Series. 130:1-130:26 - Tobias Ziegler, Jacob Nelson-Slivon, Viktor Leis, Carsten Binnig:
Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA. 131:1-131:26 - Jiebing Ma, Sourav S. Bhowmick, Byron Choi, Lester Tay:
Theories and Principles Matter: Towards Visually Appealing and Effective Abstraction of Property Graph Queries. 132:1-132:26 - Zitan Sun, Xin Huang, Qing Liu, Jianliang Xu:
Efficient Star-based Truss Maintenance on Dynamic Graphs. 133:1-133:26 - Yeonsu Park, Byungchul Tak, Wook-Shin Han:
QaaD (Query-as-a-Data): Scalable Execution of Massive Number of Small Queries in Spark. 134:1-134:26 - Rajesh Shrestha, Omeed Habibelahian, Arash Termehchy, Paolo Papotti:
Exploratory Training: When Annotators Learn About Data. 135:1-135:25 - Cong Yan, Yin Lin, Yeye He:
Predicate Pushdown for Data Science Pipelines. 136:1-136:28 - Jianyang Gao, Cheng Long:
High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations. 137:1-137:27 - Qiangqiang Dai, Rong-Hua Li, Xiaowei Ye, Meihao Liao, Weipeng Zhang, Guoren Wang:
Hereditary Cohesive Subgraphs Enumeration on Bipartite Graphs: The Power of Pivot-based Approaches. 138:1-138:26 - Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic:
Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices. 139:1-139:22 - Niv Dayan, Ioana O. Bercea, Pedro Reviriego, Rasmus Pagh:
InfiniFilter: Expanding Filters to Infinity and Beyond. 140:1-140:27 - Shixun Huang, Zhifeng Bao:
Shortest Paths Discovery in Uncertain Networks via Transfer Learning. 141:1-141:25 - Kuntai Cai, Xiaokui Xiao, Graham Cormode:
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy. 142:1-142:25 - Xinchen Wan, Kaiqiang Xu, Xudong Liao, Yilun Jin, Kai Chen, Xin Jin:
Scalable and Efficient Full-Graph GNN Training for Large Graphs. 143:1-143:23 - Dennis Treder-Tschechlov, Manuel Fritz, Holger Schwarz, Bernhard Mitschang:
ML2DAC: Meta-Learning to Democratize AutoML for Clustering Analysis. 144:1-144:26 - Yunhai Wang, Yuchun Wang, Xin Chen, Yue Zhao, Fan Zhang, Eugene Wu, Chi-Wing Fu, Xiaohui Yu:
OM3: An Ordered Multi-level Min-Max Representation for Interactive Progressive Visualization of Time Series. 145:1-145:24 - Yexin Wang, Zhi Yang, Junqi Liu, Wentao Zhang, Bin Cui:
Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization. 146:1-146:21 - Zihui Gu, Ju Fan, Nan Tang, Lei Cao, Bowen Jia, Sam Madden, Xiaoyong Du:
Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning. 147:1-147:28 - Cuong D. T. Nguyen, Johann K. Miller, Daniel J. Abadi:
Detock: High Performance Multi-region Transactions at Scale. 148:1-148:27 - CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andres Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong:
Measuring Re-identification Risk. 149:1-149:26 - Yisu Remy Wang, Max Willsey, Dan Suciu:
Free Join: Unifying Worst-Case Optimal and Traditional Joins. 150:1-150:23 - Zilu Tian, Peter Lindner, Markus Nissl, Christoph Koch, Val Tannen:
Generalizing Bulk-Synchronous Parallel Processing for Data Science: From Data to Threads and Agent-Based Simulations. 151:1-151:28 - Ling Zhang, Shaleen Deep, Avrilia Floratou, Anja Gruenheid, Jignesh M. Patel, Yiwen Zhu:
Exploiting Structure in Regular Expression Queries. 152:1-152:28 - Xiao Hu, Qichen Wang:
Computing the Difference of Conjunctive Queries Efficiently. 153:1-153:26 - Felipe T. Brito, Victor A. E. de Farias, Cheryl J. Flynn, Subhabrata Majumdar, Javam C. Machado, Divesh Srivastava:
Global and Local Differentially Private Release of Count-Weighted Graphs. 154:1-154:25 - Libin Wang, Raymond Chi-Wing Wong:
QHL: A Fast Algorithm for Exact Constrained Shortest Path Search on Road Networks. 155:1-155:25 - Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
XInsight: eXplainable Data Analysis Through The Lens of Causality. 156:1-156:27 - Chengliang Chai, Jiabin Liu, Nan Tang, Ju Fan, Dongjing Miao, Jiayi Wang, Yuyu Luo, Guoliang Li:
GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data. 157:1-157:27 - Yatong Wang, Yuncheng Wu, Xincheng Chen, Gang Feng, Beng Chin Ooi:
Incentive-Aware Decentralized Data Collaboration. 158:1-158:27 - Jiacheng Huang, Zequn Sun, Qijin Chen, Xiaozhou Xu, Weijun Ren, Wei Hu:
Deep Active Alignment of Knowledge Graph Entities and Schemata. 159:1-159:26 - Meihao Liao, Rong-Hua Li, Qiangqiang Dai, Hongyang Chen, Hongchao Qin, Guoren Wang:
Efficient Personalized PageRank Computation: The Power of Variance-Reduced Monte Carlo Approaches. 160:1-160:26 - Haoqiong Bian, Tiannan Sha, Anastasia Ailamaki:
Using Cloud Functions as Accelerator for Elastic Data Analytics. 161:1-161:27 - Xin Wang, Zhengru Wang, Zhenyu Wu, Shuhao Zhang, Xuanhua Shi, Li Lu:
Data Stream Clustering: An In-depth Empirical Study. 162:1-162:26 - Haoyang Li, Lei Chen:
EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs. 163:1-163:28 - Hao Liao, Sheng Bi, Jiao Wu, Wei Zhang, Mingyang Zhou, Rui Mao, Wei Chen:
Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation. 164:1-164:26 - Kaihao Ma, Xiao Yan, Zhenkun Cai, Yuzhen Huang, Yidi Wu, James Cheng:
FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication. 165:1-165:21 - Xin Zhang, Yanyan Shen, Yingxia Shao, Lei Chen:
DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU. 166:1-166:24 - Junya Arai, Yasuhiro Fujiwara, Makoto Onizuka:
GuP: Fast Subgraph Matching by Guard-based Pruning. 167:1-167:26 - Zhaomin Wu, Junhui Zhu, Qinbin Li, Bingsheng He:
DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning. 168:1-168:26 - Yichen Xu, Chenhao Ma, Yixiang Fang, Zhifeng Bao:
Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery. 169:1-169:27 - Haoxuan Xie, Yixiang Fang, Yuyang Xia, Wensheng Luo, Chenhao Ma:
On Querying Connected Components in Large Temporal Graphs. 170:1-170:27 - David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen:
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. 171:1-171:27 - Raul Castro Fernandez:
Data-Sharing Markets: Model, Protocol, and Algorithms to Incentivize the Formation of Data-Sharing Consortia. 172:1-172:25 - Ziquan Fang, Shenghao Gong, Lu Chen, Jiachen Xu, Yunjun Gao, Christian S. Jensen:
Ghost: A General Framework for High-Performance Online Similarity Queries over Distributed Trajectory Streams. 173:1-173:25 - Viktor Sanca, Periklis Chrysogelos, Anastasia Ailamaki:
LAQy: Efficient and Reusable Query Approximations via Lazy Sampling. 174:1-174:26 - Prithu Banerjee, Wei Chen, Laks V. S. Lakshmanan:
Mitigating Filter Bubbles Under a Competitive Diffusion Model. 175:1-175:26 - Jia Li, Yanyan Shen, Lei Chen, Charles Wang Wai Ng:
SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation. 176:1-176:21 - Abdelghny Orogat, Ahmed El-Roby:
Maestro: Automatic Generation of Comprehensive Benchmarks for Question Answering Over Knowledge Graphs. 177:1-177:24 - Yinan Li, Jianan Lu, Badrish Chandramouli:
Selection Pushdown in Column Stores using Bit Manipulation Instructions. 178:1-178:26 - Zhencan Peng, Zhizhi Wang, Dong Deng:
Near-Duplicate Sequence Search at Scale for Large Language Model Memorization Evaluation. 179:1-179:18 - Osnat Drien, Matanya Freiman, Antoine Amarilli, Yael Amsterdamer:
Query-Guided Resolution in Uncertain Databases. 180:1-180:27 - Xibo Sun, Qiong Luo:
Efficient GPU-Accelerated Subgraph Matching. 181:1-181:26 - Saeed Kargar, Faisal Nawab:
Hamming Tree: The Case for Energy-Aware Indexing for NVMs. 182:1-182:27 - Peng Li, Zhiyi Chen, Xu Chu, Kexin Rong:
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data. 183:1-183:26 - Rana Hussein, Alberto Lerner, André Ryser, Lucas David Bürgi, Albert Blarer, Philippe Cudré-Mauroux:
GraphINC: Graph Pattern Mining at Network Speed. 184:1-184:28 - Junyi Zhao, Huanchen Zhang, Yihan Gao:
Efficient Query Re-optimization with Judicious Subquery Selections. 185:1-185:26 - Xinyi Zhang, Zhuo Chang, Hong Wu, Yang Li, Jia Chen, Jian Tan, Feifei Li, Bin Cui:
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning. 186:1-186:26 - Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang:
WISK: A Workload-aware Learned Index for Spatial Keyword Queries. 187:1-187:27 - Xiaobin Ren, Kaiqi Zhao, Patricia J. Riddle, Katerina Taskova, Qingyi Pan, Lianyan Li:
DAMR: Dynamic Adjacency Matrix Representation Learning for Multivariate Time Series Imputation. 188:1-188:25 - Yutian Sun, Tim Meehan, Rebecca Schlussel, Wenlei Xie, Masha Basmanova, Orri Erling, Andrii Rosa, Shixuan Fan, Rongrong Zhong, Arun Thirupathi, Nikhil Collooru, Ke Wang, Sameer Agarwal, Arjun Gupta, Dionysios Logothetis, Kostas Xirogiannopoulos, Amit Dutta, Varun Gajjala, Rohit Jain, Ajay Palakuzhy, Prithvi Pandian, Sergey Pershin, Abhisek Saikia, Pranjal Shankhdhar, Neerad Somanchi, Swapnil Tailor, Jialiang Tan, Sreeni Viswanadha, Zac Wen, Biswapesh Chattopadhyay, Bin Fan, Deepak Majeti, Aditi Pandit:
Presto: A Decade of SQL Analytics at Meta. 189:1-189:25 - Zhichen Xu, Ying Gao, Andrew Davidson:
Keep Your Distributed Data Warehouse Consistent at a Minimal Cost. 190:1-190:25 - Zhenxuan Pan, Tao Wu, Qingwen Zhao, Qiang Zhou, Zhiwei Peng, Jiefeng Li, Qi Zhang, Guanyu Feng, Xiaowei Zhu:
GeaFlow: A Graph Extended and Accelerated Dataflow System. 191:1-191:27 - Siying Dong, Shiva Shankar P., Satadru Pan, Anand Ananthabhotla, Dhanabal Ekambaram, Abhinav Sharma, Shobhit Dayal, Nishant Vinaybhai Parikh, Yanqin Jin, Albert Kim, Sushil Patil, Jay Zhuang, Sam Dunster, Akanksha Mahajan, Anirudh Chelluri, Chaitanya Datye, Lucas Vasconcelos Santana, Nitin Garg, Omkar Gawde:
Disaggregating RocksDB: A Production Experience. 192:1-192:24 - Hanyu Zhao, Zhi Yang, Yu Cheng, Chao Tian, Shiru Ren, Wencong Xiao, Man Yuan, Langshi Chen, Kaibo Liu, Yang Zhang, Yong Li, Wei Lin:
GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning. 193:1-193:25 - Xinying Yang, Ruide Zhang, Cong Yue, Yang Liu, Beng Chin Ooi, Qun Gao, Yuan Zhang, Hao Yang:
VeDB: A Software and Hardware Enabled Trusted Relational Database. 194:1-194:27 - Chen Wang, Jialin Qiao, Xiangdong Huang, Shaoxu Song, Haonan Hou, Tian Jiang, Lei Rui, Jianmin Wang, Jiaguang Sun:
Apache IoTDB: A Time Series Database for IoT Applications. 195:1-195:27 - Tyler Akidau, Paul Barbier, Istvan Cseri, Fabian Hueske, Tyler Jones, Sasha Lionheart, Daniel Mills, Dzmitry Pauliukevich, Lukas Probst, Niklas Semmler, Dan Sotolongo, Boyuan Zhang:
What's the Difference? Incremental Processing with Change Queries in Snowflake. 196:1-196:27 - Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Ali Mousavi, Ihab F. Ilyas, Umar Farooq Minhas, Jeffrey Pound, Theodoros Rekatsinas:
High-Throughput Vector Similarity Search in Knowledge Graphs. 197:1-197:25 - Renzo Angles, Angela Bonifati, Stefania Dumbrava, George Fletcher, Alastair Green, Jan Hidders, Bei Li, Leonid Libkin, Victor Marsault, Wim Martens, Filip Murlak, Stefan Plantikow, Ognjen Savkovic, Michael Schmidt, Juan Sequeda, Slawek Staworko, Dominik Tomaszuk, Hannes Voigt, Domagoj Vrgoc, Mingxi Wu, Dusan Zivkovic:
PG-Schema: Schemas for Property Graphs. 198:1-198:25 - Jianying Wang, Tongliang Li, Haoze Song, Xinjun Yang, Wenchao Zhou, Feifei Li, Baoyue Yan, Qianqian Wu, Yukun Liang, Chengjun Ying, Yujie Wang, Baokai Chen, Chang Cai, Yubin Ruan, Xiaoyi Weng, Shibin Chen, Liang Yin, Chengzhong Yang, Xin Cai, Hongyan Xing, Nanlong Yu, Xiaofei Chen, Dapeng Huang, Jianling Sun:
PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba. 199:1-199:25 - Wenyuan Yu, Tao He, Lei Wang, Ke Meng, Ye Cao, Diwen Zhu, Sanhong Li, Jingren Zhou:
Vineyard: Optimizing Data Sharing in Data-Intensive Analytics. 200:1-200:27 - Sven Langenecker, Christoph Sturm, Christian Schalles, Carsten Binnig:
Steered Training Data Generation for Learned Semantic Type Detection. 201:1-201:25 - Jinsong Guo, Aditya Jami, Markus Kröll, Lukas Schweizer, Sergey Paramonov, Eric Aichinger, Stefano Sferrazza, Mattia Scaccia, Stéphane Reissfelder, Eda Cicek, Giovanni Grasso, Georg Gottlob:
When Automatic Filtering Comes to the Rescue: Pre-Computing Company Competitor Pairs in Owler. 202:1-202:23
Volume 1, Number 3, September 2023
- Divyakant Agrawal, Alexandra Meliou, S. Sudarshan:
PACMMOD Volume 1, Issue 3: Editorial. 203:1-203:2 - Supawit Chockchowwat, Wenjie Liu, Yongjoo Park:
AirIndex: Versatile Index Tuning Through Data and Storage. 204:1-204:26 - Rui Zhu, Bin Wang, Xiaochun Yang, Baihua Zheng:
Closest Pairs Search Over Data Stream. 205:1-205:26 - Zhen Zheng, Zaifeng Pan, Dalin Wang, Kai Zhu, Wenyi Zhao, Tianyou Guo, Xiafei Qiu, Minmin Sun, Junjie Bai, Feng Zhang, Xiaoyong Du, Jidong Zhai, Wei Lin:
BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach. 206:1-206:29 - Qintian Guo, Chen Feng, Fangyuan Zhang, Sibo Wang:
Efficient Algorithm for Budgeted Adaptive Influence Maximization: An Incremental RR-set Update Approach. 207:1-207:26 - Wensheng Luo, Qiaoyuan Yang, Yixiang Fang, Xu Zhou:
Efficient Core Maintenance in Large Bipartite Graphs. 208:1-208:26 - Lijun Chang:
Efficient Maximum k-Defective Clique Computation with Improved Time Complexity. 209:1-209:26 - Lihang Fan, Wenfei Fan, Ping Lu, Chao Tian, Qiang Yin:
Enriching Recommendation Models with Logic Conditions. 210:1-210:28 - Kaiqiang Yu, Cheng Long:
Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach. 211:1-211:26 - Anran Li, Yue Cao, Jiabao Guo, Hongyi Peng, Qing Guo, Han Yu:
FedCSS: Joint Client-and-Sample Selection for Hard Sample-Aware Noise-Robust Federated Learning. 212:1-212:24 - Dingheng Mo, Fanchao Chen, Siqiang Luo, Caihua Shan:
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads. 213:1-213:25 - He Huang, Jiakun Yu, Yang Du, Jia Liu, Haipeng Dai, Yu-E Sun:
Memory-Efficient and Flexible Detection of Heavy Hitters in High-Speed Networks. 214:1-214:24 - Zijin Feng, Miao Qiao, Hong Cheng:
Modularity-based Hypergraph Clustering: Random Hypergraph Model, Hyperedge-cluster Relation, and Computation. 215:1-215:25 - Ge Shi, Ziyi Yan, Tianzheng Wang:
OptiQL: Robust Optimistic Locking for Memory-Optimized Indexes. 216:1-216:26 - Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Youfang Lin, Christian S. Jensen:
Origin-Destination Travel Time Oracle for Map-based Services. 217:1-217:27 - Shafaq Siddiqi, Roman Kern, Matthias Boehm:
SAGA: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications. 218:1-218:26 - Qiyao Luo, Yilei Wang, Ke Yi, Sheng Wang, Feifei Li:
Secure Sampling for Approximate Multi-party Query Processing. 219:1-219:27 - Panagiotis Sioulas, Ioannis Mytilinis, Anastasia Ailamaki:
SH2O: Efficient Data Access for Work-Sharing Databases. 220:1-220:26 - Laxman Dhulipala, Jakub Lacki, Jason Lee, Vahab Mirrokni:
TeraHAC: Hierarchical Agglomerative Clustering of Trillion-Edge Graphs. 221:1-221:27
Volume 1, Number 4, December 2023
- Divyakant Agrawal, Alexandra Meliou, S. Sudarshan:
PACMMOD Volume 1 Issue 4: Editorial. 222:1-222:2 - Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian:
GEqO: ML-Accelerated Semantic Equivalence Detection. 223:1-223:25 - Bar Genossar, Avigdor Gal, Roee Shraga:
The Battleship Approach to the Low Resource Entity Matching Problem. 224:1-224:25 - Yicong Huang, Zuozhi Wang, Chen Li:
Udon: Efficient Debugging of User-Defined Functions in Big Data Systems with Line-by-Line Control. 225:1-225:26 - Zehao Chen, Bingzhe Li, Xiaojun Cai, Zhiping Jia, Lei Ju, Zili Shao, Zhaoyan Shen:
ChainKV: A Semantics-Aware Key-Value Store for Ethereum System. 226:1-226:23 - Haoran Ding, Zhaoguo Wang, Yicun Yang, Dexin Zhang, Zhenglin Xu, Haibo Chen, Ruzica Piskac, Jinyang Li:
Proving Query Equivalence Using Linear Integer Arithmetic. 227:1-227:26 - Neha Makhija, Wolfgang Gatterbauer:
A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations. 228:1-228:27 - Zhen Song, Yu Gu, Tianyi Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu:
ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling. 229:1-229:26 - Azim Afroozeh, Leonardo X. Kuffo, Peter A. Boncz:
ALP: Adaptive Lossless floating-Point Compression. 230:1-230:26 - Dimitrios Stavrakakis, Dimitra Giantsidi, Maurice Bailleu, Philip Sändig, Shady Issa, Pramod Bhatotia:
Anchor: A Library for Building Secure Persistent Memory Systems. 231:1-231:31 - Xiaolei Chen, Peng Wang, Jia Chen, Wei Wang:
AS-Parser: Log Parsing Based on Adaptive Segmentation. 232:1-232:26 - Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Michael J. Cafarella, Samuel Madden:
Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools. 233:1-233:25 - Haoyu Li, Liuhui Wang, Qizhi Chen, Jianan Ji, Yuhan Wu, Yikai Zhao, Tong Yang, Aditya Akella:
ChainedFilter: Combining Membership Filters by Chain Rule. 234:1-234:27 - AmirReza Alizade Nikoo, Michael H. Böhlen, Sven Helmer:
Correlation Joins over Time Series Data Streams Utilizing Complementary Dimension Reduction and Transformation. 235:1-235:26 - Yanan Li, Guangqing Deng, Changming Bai, Jingyu Yang, Gang Wang, Hao Zhang, Jin Bai, Haitao Yuan, Mengwei Xu, Shangguang Wang:
Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet. 236:1-236:29 - Fahao Chen, Peng Li, Celimuge Wu:
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks. 237:1-237:25 - Congcong Fu, Hui Li, Jian Lou, Huizhen Li, Jiangtao Cui:
DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries. 238:1-238:24 - Xingguang Chen, Fangyuan Zhang, Jinchao Huang, Sibo Wang:
Efficient Approximation Framework for Attribute Recommendation. 239:1-239:26 - Md Mouinul Islam, Mahsa Asadi, Senjuti Basu Roy:
Equitable Top-k Results for Long Tail Data. 240:1-240:24 - Shengkun Zhu, Quanqing Xu, Jinshan Zeng, Sheng Wang, Yuan Sun, Zhifeng Yang, Chuanhui Yang, Zhiyong Peng:
F3KM: Federated, Fair, and Fast k-means. 241:1-241:25 - Peter M. VanNostrand, Huayi Zhang, Dennis M. Hofmann, Elke A. Rundensteiner:
FACET: Robust Counterfactual Explanation Analytics. 242:1-242:27 - Jean-Flavien Bussotti, Enzo Veltri, Donatello Santoro, Paolo Papotti:
Generation of Training Examples for Tabular Natural Language Inference. 243:1-243:27 - Muhammad Farhan, Henning Koehler, Robert Ohms, Qing Wang:
Hierarchical Cut Labelling - Scaling Up Distance Queries on Road Networks. 244:1-244:25 - Jiujing Zhang, Zhitao Shen, Shiyu Yang, Lingkai Meng, Chuan Xiao, Wei Jia, Yue Li, Qinhui Sun, Wenjie Zhang, Xuemin Lin:
High-Ratio Compression for Machine-Generated Data. 245:1-245:27 - Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He:
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs. 246:1-246:27 - Songsong Mo, Yile Chen, Hao Wang, Gao Cong, Zhifeng Bao:
Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries. 247:1-247:26 - Zezhou Huang, Eugene Wu:
Lightweight Materialization for Fast Dashboards Over Joins. 248:1-248:27 - Zhiqi Wang, Zili Shao:
MirrorKV: An Efficient Key-Value Store on Hybrid Cloud Storage with Balanced Performance of Compaction and Querying. 249:1-249:27 - Zehai Yang, Shimin Chen:
MOST: Model-Based Compression with Outlier Storage for Time Series Data. 250:1-250:29 - Zichen Zhu, Xiao Hu, Manos Athanassoulis:
NOCAP: Near-Optimal Correlation-Aware Partitioning Joins. 252:1-252:27 - Jingyi Yang, Gao Cong:
PLATON: Top-down R-tree Packing with Learned Partition Policy. 253:1-253:26 - Douglas B. Rumbaugh, Dong Xie:
Practical Dynamic Extension for Sampling Indexes. 254:1-254:26 - Jiani Yang, Sai Wu, Dongxiang Zhang, Jian Dai, Feifei Li, Gang Chen:
Rethinking Learned Cost Models: Why Start from Scratch? 255:1-255:27 - Haoze Song, Wenchao Zhou, Feifei Li, Xiang Peng, Heming Cui:
Rethink Query Optimization in HTAP Databases. 256:1-256:27 - Martin Prammer, Jignesh M. Patel:
Rethinking the Encoding of Integers for Scans on Skewed Data. 257:1-257:27 - Jiake Ge, Huanchen Zhang, Boyu Shi, Yuanhui Luo, Yunda Guo, Yunpeng Chai, Yuxing Chen, Anqun Pan:
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models. 258:1-258:25 - Fangyuan Zhang, Dechuang Chen, Sibo Wang, Yin Yang, Junhao Gan:
Scalable Approximate Butterfly and Bi-triangle Counting for Large Bipartite Networks. 259:1-259:26 - Oscar R. Moll, Manuel Favela, Samuel Madden, Vijay Gadepally, Michael J. Cafarella:
SeeSaw: Interactive Ad-hoc Search Over Image Databases. 260:1-260:26 - Zizhong Meng, Xin Cao, Gao Cong:
Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes. 261:1-261:26 - Qiming Wang, Raul Castro Fernandez:
Solo: Data Discovery Using Natural Language Questions Via A Self-Supervised Approach. 262:1-262:27 - Mo Sha, Jialin Li, Sheng Wang, Feifei Li, Kian-Lee Tan:
TEE-based General-purpose Computational Backend for Secure Delegated Data Processing. 263:1-263:28 - Yao Tian, Tingyun Yan, Ruiyuan Zhang, Kai Huang, Bolong Zheng, Xiaofang Zhou:
A Learned Cuckoo Filter for Approximate Membership Queries over Variable-sized Sliding Windows on Data Streams. 264:1-264:26 - Shanshan Han, Vishal Chakraborty, Michael T. Goodrich, Sharad Mehrotra, Shantanu Sharma:
Veil: A Storage and Communication Efficient Volume-Hiding Algorithm. 265:1-265:27 - Sujaya Maiyya, Sharath Chandra Vemula, Divyakant Agrawal, Amr El Abbadi, Florian Kerschbaum:
Waffle: An Online Oblivious Datastore for Protecting Data Access Patterns. 266:1-266:25 - Shufan Zhang, Xi He:
DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance. 267:1-267:27 - Raunak Shah, Koyel Mukherjee, Atharv Tyagi, Sai Keerthana Karnam, Dhruv Joshi, Shivam Pravin Bhosale, Subrata Mitra:
R2D2: Reducing Redundancy and Duplication in Data Lakes. 268:1-268:25 - Wenfei Fan, Ziyan Han, Weilong Ren, Ding Wang, Yaoshu Wang, Min Xie, Mengyi Yan:
Splitting Tuples of Mismatched Entities. 269:1-269:29 - Zhanhao Zhao, Hexiang Pan, Gang Chen, Xiaoyong Du, Wei Lu, Beng Chin Ooi:
VeriTxn: Verifiable Transactions for Cloud-Native Databases with Storage Disaggregation. 270:1-270:27 - Jiawei Guan, Feng Zhang, Siqi Ma, Kuangyu Chen, Yihua Hu, Yuxing Chen, Anqun Pan, Xiaoyong Du:
Homomorphic Compression: Making Text Processing on Compression Unlimited. 271:1-271:28 - Zhengjie Miao, Jin Wang:
Watchog: A Light-weight Contrastive Learning based Framework for Column Annotation. 272:1-272:24
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-04-30 20:53 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
