Suchergebnisse - "Computer Science - Databases"

Not All Those Who Drift Are Lost: Drift Correction and Calibration Scheduling for the IoT

Autoren: Aaron Hurst Andrey V. Kalinichev Klaus Koren et al.

Quelle: IEEE Internet of Things Journal. 13:2144-2154

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Databases, FOS: Electrical engineering, electronic engineering, information engineering, Databases (cs.DB), Electrical Engineering and Systems Science - Signal Processing

Zugangs-URL: http://arxiv.org/abs/2506.09186

Workflows and principles for collaboration and communication in battery research

Autoren: Yannick Kuhn Bhawna Rana Micha Philipp et al.

Quelle: Digital Discovery. 5:177-192

Schlagwörter: FOS: Computer and information sciences, Computer Science - Databases, Physics - Data Analysis, Statistics and Probability, FOS: Physical sciences, Databases (cs.DB), Data Analysis, Statistics and Probability (physics.data-an)

Zugangs-URL: http://arxiv.org/abs/2505.13566

Freyja: Efficient Join Discovery in Data Lakes

Autoren: Marc Maynou Sergi Nadal Raquel Panadero et al.

Quelle: IEEE Transactions on Knowledge and Data Engineering. :1-12

Schlagwörter: FOS: Computer and information sciences, Computer Science - Databases, Databases (cs.DB)

Zugangs-URL: http://arxiv.org/abs/2412.06637

Can Large Language Models Be Query Optimizer for Relational Databases?

Autoren: Jie Tan Kangfei Zhao Rui Li et al.

Quelle: Proceedings of the ACM on Management of Data. 3:1-28

Schlagwörter: FOS: Computer and information sciences, Computer Science - Databases, Databases (cs.DB)

Zugangs-URL: http://arxiv.org/abs/2502.05562

KnobCF: Uncertainty-Aware Knob Tuning

Autoren: Yu Yan Junfang Huang Hongzhi Wang et al.

Quelle: IEEE Transactions on Knowledge and Data Engineering. 37:7240-7254

Schlagwörter: FOS: Computer and information sciences, Computer Science - Databases, Databases (cs.DB)

Zugangs-URL: http://arxiv.org/abs/2407.02803

TALENT: Targeted Mining of Non-overlapping Sequential Patterns

Autoren: Zefeng Chen Wensheng Gan Gengsen Huang et al.

Quelle: ACM Transactions on Management Information Systems. 16:1-34

Schlagwörter: FOS: Computer and information sciences, Computer Science - Databases, Databases (cs.DB)

Zugangs-URL: http://arxiv.org/abs/2306.06470

GCLS 2 : Towards Efficient Community Detection Using Graph Contrastive Learning with Structure Semantics

Autoren: Qi Wen Yiyang Zhang Yutong Ye et al.

Quelle: Proceedings of the 34th ACM International Conference on Information and Knowledge Management. :3292-3301

Schlagwörter: Social and Information Networks (cs.SI), FOS: Computer and information sciences, Computer Science - Databases, Computer Science - Social and Information Networks, Databases (cs.DB)

Zugangs-URL: http://arxiv.org/abs/2410.11273

Bag Semantics Query Containment: The CQ vs. UCQ Case and Other Stories

Autoren: Jerzy Marcinkowski Piotr Ostropolski-Nalewaja

Quelle: Proceedings of the ACM on Management of Data. 3:1-24

Schlagwörter: FOS: Computer and information sciences, Computer Science - Databases, Databases (cs.DB)

Zugangs-URL: http://arxiv.org/abs/2503.07219

Influence Minimization via Blocking Strategies

Autoren: Jiadong Xie Fan Zhang Kai Wang et al.

Quelle: INFORMS Journal on Computing. 37:1587-1604

Schlagwörter: Social and Information Networks (cs.SI), FOS: Computer and information sciences, Computer Science - Databases, Computer Science - Social and Information Networks, Databases (cs.DB)

Zugangs-URL: http://arxiv.org/abs/2312.17488

DriveAgent: Multi-Agent Structured Reasoning With LLM and Multimodal Sensor Fusion for Autonomous Driving

Autoren: Xinmeng Hou Wuqi Wang Long Yang et al.

Quelle: IEEE Robotics and Automation Letters. 10:12189-12196

Schlagwörter: FOS: Computer and information sciences, Computer Science - Robotics, Computer Science - Databases, Databases (cs.DB), Robotics (cs.RO)

Zugangs-URL: http://arxiv.org/abs/2505.02123

A Logic-Based Framework for Database Repairs

Autoren: Fröhlich, Nicolas Meier, Arne Pardal, Nina et al.

Quelle: Proceedings of the TwentySecond International Conference on Principles of Knowledge Representation and Reasoning. :326-335

Schlagwörter: FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Computer Science - Databases, 68P15, 68T27, Databases (cs.DB), Logic in Computer Science (cs.LO)

Zugangs-URL: http://arxiv.org/abs/2306.15516

Steering Semantic Data Processing With DocWrangler

Autoren: Shreya Shankar Bhavya Chopra Mawil Hasan et al.

Quelle: Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology. :1-18

Schlagwörter: FOS: Computer and information sciences, Computer Science - Databases, Computer Science - Human-Computer Interaction, Databases (cs.DB), Human-Computer Interaction (cs.HC)

Zugangs-URL: http://arxiv.org/abs/2504.14764

A Survey of Learned Indexes for the Multi-dimensional Space

Autoren: Abdullah Al-Mamun Hao Wu Qiyang He et al.

Quelle: ACM Computing Surveys. 58:1-37

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Databases, Databases (cs.DB), Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2403.06456

ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training

Autoren: Jiayang Wu Wensheng Gan Jiahao Zhang et al.

Quelle: ACM Transactions on Asian and Low-Resource Language Information Processing. 24:1-29

Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Databases, Computer Science - Artificial Intelligence, Databases (cs.DB)

Zugangs-URL: http://arxiv.org/abs/2501.07078

My Precious Crash Data: Barriers and Opportunities in Encouraging Autonomous Driving Companies to Share Safety-Critical Data

Autoren: Hauke Sandhaus Angel Hsing-Chi Hwang Wendy Ju et al.

Quelle: Proceedings of the ACM on Human-Computer Interaction. 9:1-21

Schlagwörter: J.1, FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Databases, Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, H.2.8, E.m, Databases (cs.DB), Human-Computer Interaction (cs.HC)

Zugangs-URL: http://arxiv.org/abs/2504.17792

Natural Language Interaction with Databases on Edge Devices in the Internet of Battlefield Things

Autoren: Christopher D. Molek Roberto Fronteddu Kristen Brent Venable et al.

Quelle: MILCOM 2025 - 2025 IEEE Military Communications Conference (MILCOM). :838-843

Schlagwörter: FOS: Computer and information sciences, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Computer Science - Databases, Computer Science - Artificial Intelligence, Databases (cs.DB), Computation and Language (cs.CL)

Zugangs-URL: http://arxiv.org/abs/2506.06396

Design and Implementation of Fragmented Clouds for Evaluation of Distributed Databases

Autoren: Yaser Mansouri Faheem Ullah Shagun Dhingra et al.

Quelle: IEEE Transactions on Cloud Computing. 13:1190-1204

Schlagwörter: FOS: Computer and information sciences, Computer Science - Databases, 0202 electrical engineering, electronic engineering, information engineering, Databases (cs.DB), 02 engineering and technology

Zugangs-URL: http://arxiv.org/abs/2209.09487

Any-k Algorithms for Enumerating Ranked Answers to Conjunctive Queries

Autoren: Nikolaos Tziavelis Wolfgang Gatterbauer Mirek Riedewald

Quelle: ACM Transactions on Database Systems. 51:1-47

Schlagwörter: FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Computer Science - Databases, Computer Science - Data Structures and Algorithms, 0202 electrical engineering, electronic engineering, information engineering, Databases (cs.DB), Data Structures and Algorithms (cs.DS), 02 engineering and technology, Logic in Computer Science (cs.LO)

Zugangs-URL: http://arxiv.org/abs/2205.05649

Differentially Private Explanations for Clusters

Autoren: Amir Gilad Tova Milo Kathy Razmadze et al.

Quelle: Proceedings of the ACM on Management of Data. 3:1-27

Schlagwörter: FOS: Computer and information sciences, Computer Science - Cryptography and Security, Computer Science - Databases, Databases (cs.DB), Cryptography and Security (cs.CR)

Zugangs-URL: http://arxiv.org/abs/2506.05900

VecFlow: A High-Performance Vector Data Management System for Filtered-Search on GPUs

Autoren: Jingyi Xi Chenghao Mo Ben Karsin et al.

Quelle: Proceedings of the ACM on Management of Data. 3:1-27

Schlagwörter: FOS: Computer and information sciences, Computer Science - Databases, Databases (cs.DB)

Zugangs-URL: http://arxiv.org/abs/2506.00812