arXiv cs.DB Databases

Micka\"el Martin Nevot (LIS, AMU, IACD): Emerging Skycube https://arxiv.org/abs/2508.10516 https://arxiv.org/pdf/2508.10516 https://arxiv.org/html/2508.10516

Xiang, Bienvenu, Cima, Guti\'errez-Basulto, Ib\'a\~nez-Garc\'ia: Advances in Logic-Based Entity Resolution: Enhancing ASPEN with Local Merges and Optimality Criteria https://arxiv.org/abs/2508.10504 https://arxiv.org/pdf/2508.10504 https://arxiv.org/html/2508.10504

Wei Tian, Jieming Shi, Man Lung Yiu: Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching https://arxiv.org/abs/2508.10460 https://arxiv.org/pdf/2508.10460 https://arxiv.org/html/2508.10460

Paul-Julius Hillmann, Stephan A. Fahrenkrog-Petersen, Jan Mendling: Cross-Organizational Analysis of Parliamentary Processes: A Case Study https://arxiv.org/abs/2508.10381 https://arxiv.org/pdf/2508.10381 https://arxiv.org/html/2508.10381

Yingfan Liu, Yandi Zhang, Jiadong Xie, Hui Li, Jeffrey Xu Yu, Jiangtao Cui: Privacy-Preserving Approximate Nearest Neighbor Search on High-Dimensional Data https://arxiv.org/abs/2508.10373 https://arxiv.org/pdf/2508.10373 https://arxiv.org/html/2508.10373

[2025-08-15 Fri (UTC), 5 new articles found for csDB Databases]

Ting Cai, Stephen Sheen, AnHai Doan: Columbo: Expanding Abbreviated Column Names for Tabular Data Using Large Language Models https://arxiv.org/abs/2508.09403 https://arxiv.org/pdf/2508.09403 https://arxiv.org/html/2508.09403

Nick Oh, Giorgos D. Vrakas, Si\^an J. M. Brooke, Sasha Morini\`ere, Toju Duke: PETLP: A Privacy-by-Design Pipeline for Social Media Data in AI Research https://arxiv.org/abs/2508.09232 https://arxiv.org/pdf/2508.09232 https://arxiv.org/html/2508.09232

Beyza Cinar, Maria Maleshkova: Presenting DiaData for Research on Type 1 Diabetes https://arxiv.org/abs/2508.09160 https://arxiv.org/pdf/2508.09160 https://arxiv.org/html/2508.09160

Yuchen Tian, Kaixin Li, Hao Chen, Ziyang Luo, Hongzhan Lin, Sebastian Schelter, Lun Du, Jing Ma: AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? https://arxiv.org/abs/2508.09631 https://arxiv.org/pdf/2508.09631 https://arxiv.org/html/2508.09631

Yaoyu Zhu, Jintao Zhang, Guoliang Li, Jianhua Feng: A Lightweight Learned Cardinality Estimation Model https://arxiv.org/abs/2508.09602 https://arxiv.org/pdf/2508.09602 https://arxiv.org/html/2508.09602

Fei Teng, Haoyang Li, Lei Chen: LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation https://arxiv.org/abs/2508.09594 https://arxiv.org/pdf/2508.09594 https://arxiv.org/html/2508.09594

Hyunsung Kim, Hoyoung Choi, Sangwoo Seo, Tom Boomstra, Jinsung Yoon, Chanyoung Park: ELASTIC: Event-Tracking Data Synchronization in Soccer Without Annotated Event Locations https://arxiv.org/abs/2508.09238 https://arxiv.org/pdf/2508.09238 https://arxiv.org/html/2508.09238

[2025-08-14 Thu (UTC), 4 new articles found for csDB Databases]

Yuan Qiu, Ke Yi: Approximate DBSCAN under Differential Privacy https://arxiv.org/abs/2508.08749 https://arxiv.org/pdf/2508.08749 https://arxiv.org/html/2508.08749

Sabiha Tajdari, Anastasia Ailamaki, Sandhya Dwarkadas: JSPIM: A Skew-Aware PIM Accelerator for High-Performance Databases Join and Select Operations https://arxiv.org/abs/2508.08503 https://arxiv.org/pdf/2508.08503 https://arxiv.org/html/2508.08503

Xu, Cui, Shi, Ma, Guo, Li, Zhao, Zhang, Di, Zhu, Zheng, Xu: E3-Rewrite: Learning to Rewrite SQL for Executability, Equivalence,and Efficiency https://arxiv.org/abs/2508.09023 https://arxiv.org/pdf/2508.09023 https://arxiv.org/html/2508.09023

Vogt, K\"onig-Ries, Alamenciak, Brian, Arnillas, Korell, Fr\uckl, Heger: A Framework for FAIR and CLEAR Ecological Data and Knowledge: Semantic Units for Synthesis and Causal Modelling https://arxiv.org/abs/2508.08959 https://arxiv.org/pdf/2508.08959 https://arxiv.org/html/2508.08959

Zhonggen Li, Xiangyu Ke, Yifan Zhu, Bocheng Yu, Baihua Zheng, Yunjun Gao: Scalable Graph Indexing using GPUs for Approximate Nearest Neighbor Search https://arxiv.org/abs/2508.08744 https://arxiv.org/pdf/2508.08744 https://arxiv.org/html/2508.08744

Wenqi Jiang: Vector-Centric Machine Learning Systems: A Cross-Stack Approach https://arxiv.org/abs/2508.08469 https://arxiv.org/pdf/2508.08469 https://arxiv.org/html/2508.08469

Ning Li, Kounianhua Du, Han Zhang, Quan Gan, Minjie Wang, David Wipf, Weinan Zhang: Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases https://arxiv.org/abs/2508.08327 https://arxiv.org/pdf/2508.08327 https://arxiv.org/html/2508.08327

Dongwei Wang, Zijie Liu, Song Wang, Yuxin Ren, Jianing Deng, Jingtong Hu, Tianlong Chen, Huanrui Yang: FIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference https://arxiv.org/abs/2508.08256 https://arxiv.org/pdf/2508.08256 https://arxiv.org/html/2508.08256

[2025-08-13 Wed (UTC), 6 new articles found for csDB Databases]

Weinzierl, Zilker, Liessmann, K\"appel, Wang, Matzner: From Source to Target: Leveraging Transfer Learning for Predictive Process Monitoring in Organizations https://arxiv.org/abs/2508.08061 https://arxiv.org/pdf/2508.08061 https://arxiv.org/html/2508.08061

Meghyn Bienvenu, Camille Bourgaux, Katsumi Inoue, Robin Jean: A Rule-Based Approach to Specifying Preferences over Conflicting Facts and Querying Inconsistent Knowledge Bases https://arxiv.org/abs/2508.07742 https://arxiv.org/pdf/2508.07742 https://arxiv.org/html/2508.07742

Jiaqi Yin, Yi-Wei Chen, Meng-Lung Lee, Xiya Liu: Schema Lineage Extraction at Scale: Multilingual Pipelines, Composite Evaluation, and Language-Model Benchmarks https://arxiv.org/abs/2508.07179 https://arxiv.org/pdf/2508.07179 https://arxiv.org/html/2508.07179

Shashwat Jaiswal, Suman Raj, Subhajit Sidhanta, Yogesh Simmhan: AerialDB: A Federated Peer-to-Peer Spatio-temporal Edge Datastore for Drone Fleets https://arxiv.org/abs/2508.07124 https://arxiv.org/pdf/2508.07124 https://arxiv.org/html/2508.07124

Mohammad Hossein Moslemi, Amir Mousavi, Behshid Behkamal, Mostafa Milani: Heterogeneity in Entity Matching: A Survey and Experimental Analysis https://arxiv.org/abs/2508.08076 https://arxiv.org/pdf/2508.08076 https://arxiv.org/html/2508.08076

Andrew Kang, Yashnil Saha, Sainyam Galhotra: Towards General-Purpose Data Discovery: A Programming Languages Approach https://arxiv.org/abs/2508.08074 https://arxiv.org/pdf/2508.08074 https://arxiv.org/html/2508.08074

Andrew Kang, Sainyam Galhotra: TQL: Towards Type-Driven Data Discovery https://arxiv.org/abs/2508.08054 https://arxiv.org/pdf/2508.08054 https://arxiv.org/html/2508.08054