VLDB J.

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Publications

volume 33, number 2, 2024

Hongyao Zhao, Jingyao Li, Wei Lu, Qian Zhang, Wanqing Yang, Jiajia Zhong, Meihui Zhang, Haixiang Li, Xiaoyong Du, Anqun Pan
RCBench: an RDMA-enabled transaction framework for analyzing concurrency control algorithms. VLDB J. 33 (2) (2024)

volume 33, number 3, 2024

Junhua Zhang, Long Yuan, Wentao Li, Lu Qin, Ying Zhang, Wenjie Zhang
Label-constrained shortest path query processing on road networks. VLDB J. 33 (3) (2024)
Kai Yao, Lijun Chang, Jeffrey Xu Yu
Identifying similar-bicliques in bipartite graphs. VLDB J. 33 (3) (2024)
Jiawei Jiang, Yi Wei, Yu Liu, Wentao Wu, Chuang Hu, Zhigao Zheng, Ziyi Zhang, Yingxia Shao, Ce Zhang
How good are machine learning clouds? Benchmarking two snapshots over 5 years. VLDB J. 33 (3) (2024)
James Fang, Dmitry Lychagin, Michael J. Carey, Vassilis J. Tsotras
A new window Clause for SQL++. VLDB J. 33 (3) (2024)
Arlino Magalhães, Angelo Brayner, José Maria Monteiro
MM-DIRECT. VLDB J. 33 (3) (2024)
Kai Ming Ting, Zongyou Liu, Lei Gong, Hang Zhang, Ye Zhu
A new distributional treatment for time series anomaly detection. VLDB J. 33 (3) (2024)
Shufeng Gong, Chao Tian, Qiang Yin, Zhengdong Wang, Song Yu, Yanfeng Zhang, Wenyuan Yu, Liang Geng, Chong Fu, Ge Yu, Jingren Zhou
Ingress: an automated incremental graph processing system. VLDB J. 33 (3) (2024)
Tianrui Xia, Jinzhao Xiao, Yuxiang Huang, Changyu Hu, Shaoxu Song, Xiangdong Huang, Jian-min Wang
Time series data encoding in Apache IoTDB: comparative analysis and recommendation. VLDB J. 33 (3) (2024)
Hong Lin, Ke Chen, Dawei Jiang, Lidan Shou, Gang Chen
Refiner: a reliable and efficient incentive-driven federated learning system powered by blockchain. VLDB J. 33 (3) (2024)
Anqi Liang, Bin Yao, Bo Wang, Yinpei Liu, Zhida Chen, Jiong Xie, Feifei Li
Sub-trajectory clustering with deep reinforcement learning. VLDB J. 33 (3) (2024)
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
Scalable decoupling graph neural network with feature-oriented optimization. VLDB J. 33 (3) (2024)
Geon Lee, Seokbum Yoon, Jihoon Ko, Hyunju Kim, Kijung Shin
Hypergraph motifs and their extensions beyond binary. VLDB J. 33 (3) (2024)
Tong Jia, Ying Li, Yong Yang, Gang Huang
Hilogx: noise-aware log-based anomaly detection with human feedback. VLDB J. 33 (3) (2024)

volume 33, number 4, 2024

Tin Vu, Alberto Belussi, Sara Migliorini, Ahmed Eldawy
A learning-based framework for spatial join processing: estimation, optimization and tuning. VLDB J. 33 (4) (2024)
Yongping Luo, Peiquan Jin, Zhaole Chu, Xiaoliang Wang, Yigui Yuan, Zhou Zhang, Yun Luo, Xufei Wu, Peng Zou
Morphtree: a polymorphic main-memory learned index for dynamic workloads. VLDB J. 33 (4) (2024)
Sergey Redyuk, Zoi Kaoudi, Sebastian Schelter, Volker Markl
Assisted design of data science pipelines. VLDB J. 33 (4) (2024)
Venkata Vamsikrishna Meduri, Abdul Quamar, Chuan Lei, Xiao Qin, Berthold Reinwald
Alfa: active learning for graph neural network-based semantic schema alignment. VLDB J. 33 (4) (2024)
Immanuel Trummer
DB-BERT: making database tuning tools "read" the manual. VLDB J. 33 (4) (2024)
Andy Huynh, Harshal A. Chaudhari, Evimaria Terzi, Manos Athanassoulis
Towards flexibility and robustness of LSM trees. VLDB J. 33 (4) (2024)
Dan Olteanu, Nils Vortmeier, Dorde Zivanovic
Givens rotations for QR decomposition, SVD and PCA over database joins. VLDB J. 33 (4) (2024)
Nima Shahbazi, Abolfazl Asudeh
Reliability evaluation of individual predictions: a data-centric approach. VLDB J. 33 (4) (2024)
Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
F-IVM: analytics over relational databases under updates. VLDB J. 33 (4) (2024)
Yuanfeng Song, Raymond Chi-Wing Wong, Xuefang Zhao
Speech-to-SQL: toward speech-driven SQL query generation from natural language question. VLDB J. 33 (4) (2024)
Felix Neutatz, Marius Lindauer, Ziawasch Abedjan
AutoML in heavily constrained applications. VLDB J. 33 (4) (2024)
Enhui Huang, Yanlei Diao, Anna Liu, Liping Peng, Luciano Di Palma
Efficient and robust active learning methods for interactive database exploration. VLDB J. 33 (4) (2024)
Matthias Boehm, Nesime Tatbul
Special issue on "Machine learning and databases". VLDB J. 33 (4) (2024)
Matteo Paganelli, Donato Tiano, Francesco Guerra
A multi-facet analysis of BERT-based entity matching models. VLDB J. 33 (4) (2024)

volume 33, number 5, 2024