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Lero: applying learning-to-rank in query optimizer VLDB J. (IF 4.2) Pub Date : 2024-04-25 Xingguang Chen, Rong Zhu, Bolin Ding, Sibo Wang, Jingren Zhou
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Hyper-distance oracles in hypergraphs VLDB J. (IF 4.2) Pub Date : 2024-04-19 Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi
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Data distribution tailoring revisited: cost-efficient integration of representative data VLDB J. (IF 4.2) Pub Date : 2024-04-12 Jiwon Chang, Bohan Cui, Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish
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Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems VLDB J. (IF 4.2) Pub Date : 2024-04-12 Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
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Hilogx: noise-aware log-based anomaly detection with human feedback VLDB J. (IF 4.2) Pub Date : 2024-03-28
Abstract Log-based anomaly detection is essential for maintaining system reliability. Although existing log-based anomaly detection approaches perform well in certain experimental systems, they are ineffective in real-world industrial systems with noisy log data. This paper focuses on mitigating the impact of noisy log data. To this aim, we first conduct an empirical study on the system logs of four
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How good are machine learning clouds? Benchmarking two snapshots over 5 years VLDB J. (IF 4.2) Pub Date : 2024-03-15 Jiawei Jiang, Yi Wei, Yu Liu, Wentao Wu, Chuang Hu, Zhigao Zheng, Ziyi Zhang, Yingxia Shao, Ce Zhang
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Refiner: a reliable and efficient incentive-driven federated learning system powered by blockchain VLDB J. (IF 4.2) Pub Date : 2024-02-28 Hong Lin, Ke Chen, Dawei Jiang, Lidan Shou, Gang Chen
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Ingress: an automated incremental graph processing system VLDB J. (IF 4.2) Pub Date : 2024-02-20 Shufeng Gong, Chao Tian, Qiang Yin, Zhengdong Wang, Song Yu, Yanfeng Zhang, Wenyuan Yu, Liang Geng, Chong Fu, Ge Yu, Jingren Zhou
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Speech-to-SQL: toward speech-driven SQL query generation from natural language question VLDB J. (IF 4.2) Pub Date : 2024-02-16 Yuanfeng Song, Raymond Chi-Wing Wong, Xuefang Zhao
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A new distributional treatment for time series anomaly detection VLDB J. (IF 4.2) Pub Date : 2024-02-15 Kai Ming Ting, Zongyou Liu, Lei Gong, Hang Zhang, Ye Zhu
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A learning-based framework for spatial join processing: estimation, optimization and tuning VLDB J. (IF 4.2) Pub Date : 2024-02-13 Tin Vu, Alberto Belussi, Sara Migliorini, Ahmed Eldawy
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Assisted design of data science pipelines VLDB J. (IF 4.2) Pub Date : 2024-02-13 Sergey Redyuk, Zoi Kaoudi, Sebastian Schelter, Volker Markl
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Time series data encoding in Apache IoTDB: comparative analysis and recommendation VLDB J. (IF 4.2) Pub Date : 2024-02-12 Tianrui Xia, Jinzhao Xiao, Yuxiang Huang, Changyu Hu, Shaoxu Song, Xiangdong Huang, Jianmin Wang
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Sub-trajectory clustering with deep reinforcement learning VLDB J. (IF 4.2) Pub Date : 2024-01-25
Abstract Sub-trajectory clustering is a fundamental problem in many trajectory applications. Existing approaches usually divide the clustering procedure into two phases: segmenting trajectories into sub-trajectories and then clustering these sub-trajectories. However, researchers need to develop complex human-crafted segmentation rules for specific applications, making the clustering results sensitive
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Identifying similar-bicliques in bipartite graphs VLDB J. (IF 4.2) Pub Date : 2024-01-25 Kai Yao, Lijun Chang, Jeffrey Xu Yu
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Towards flexibility and robustness of LSM trees VLDB J. (IF 4.2) Pub Date : 2024-01-11 Andy Huynh, Harshal A. Chaudhari, Evimaria Terzi, Manos Athanassoulis
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Scalable decoupling graph neural network with feature-oriented optimization VLDB J. (IF 4.2) Pub Date : 2023-12-27 Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
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DB-BERT: making database tuning tools “read” the manual VLDB J. (IF 4.2) Pub Date : 2023-12-27 Immanuel Trummer
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Hypergraph motifs and their extensions beyond binary VLDB J. (IF 4.2) Pub Date : 2023-12-26 Geon Lee, Seokbum Yoon, Jihoon Ko, Hyunju Kim, Kijung Shin
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HPCache: memory-efficient OLAP through proportional caching revisited VLDB J. (IF 4.2) Pub Date : 2023-12-22 Hamish Nicholson, Periklis Chrysogelos, Anastasia Ailamaki
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A new window Clause for SQL++ VLDB J. (IF 4.2) Pub Date : 2023-12-19 James Fang, Dmitry Lychagin, Michael J. Carey, Vassilis J. Tsotras
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Label-constrained shortest path query processing on road networks VLDB J. (IF 4.2) Pub Date : 2023-12-16
Abstract Computing the shortest path between two vertices is a fundamental problem in road networks. Most of the existing works assume that the edges in the road networks have no labels, but in many real applications, the edges have labels and label constraints may be placed on the edges appearing on a valid shortest path. Hence, we study the label-constrained shortest path queries in this paper. In
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RCBench: an RDMA-enabled transaction framework for analyzing concurrency control algorithms VLDB J. (IF 4.2) Pub Date : 2023-12-14 Hongyao Zhao, Jingyao Li, Wei Lu, Qian Zhang, Wanqing Yang, Jiajia Zhong, Meihui Zhang, Haixiang Li, Xiaoyong Du, Anqun Pan
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Morphtree: a polymorphic main-memory learned index for dynamic workloads VLDB J. (IF 4.2) Pub Date : 2023-12-01 Yongping Luo, Peiquan Jin, Zhaole Chu, Xiaoliang Wang, Yigui Yuan, Zhou Zhang, Yun Luo, Xufei Wu, Peng Zou
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A multi-facet analysis of BERT-based entity matching models VLDB J. (IF 4.2) Pub Date : 2023-11-29 Matteo Paganelli, Donato Tiano, Francesco Guerra
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Givens rotations for QR decomposition, SVD and PCA over database joins VLDB J. (IF 4.2) Pub Date : 2023-11-23 Dan Olteanu, Nils Vortmeier, Ɖorđe Živanović
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Alfa: active learning for graph neural network-based semantic schema alignment VLDB J. (IF 4.2) Pub Date : 2023-11-21 Venkata Vamsikrishna Meduri, Abdul Quamar, Chuan Lei, Xiao Qin, Berthold Reinwald
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A survey on the evolution of stream processing systems VLDB J. (IF 4.2) Pub Date : 2023-11-22 Marios Fragkoulis, Paris Carbone, Vasiliki Kalavri, Asterios Katsifodimos
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Efficient and robust active learning methods for interactive database exploration VLDB J. (IF 4.2) Pub Date : 2023-11-16 Enhui Huang, Yanlei Diao, Anna Liu, Liping Peng, Luciano Di Palma
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AutoML in heavily constrained applications VLDB J. (IF 4.2) Pub Date : 2023-11-17 Felix Neutatz, Marius Lindauer, Ziawasch Abedjan
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F-IVM: analytics over relational databases under updates VLDB J. (IF 4.2) Pub Date : 2023-11-14 Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
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Efficient detection of multivariate correlations with different correlation measures VLDB J. (IF 4.2) Pub Date : 2023-10-11 Jens E. d’Hondt, Koen Minartz, Odysseas Papapetrou
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A survey on transactional stream processing VLDB J. (IF 4.2) Pub Date : 2023-09-27 Shuhao Zhang, Juan Soto, Volker Markl
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Eris: efficiently measuring discord in multidimensional sources VLDB J. (IF 4.2) Pub Date : 2023-09-20 Alberto Abelló, James Cheney
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A systematic evaluation of machine learning on serverless infrastructure VLDB J. (IF 4.2) Pub Date : 2023-09-20 Jiawei Jiang, Shaoduo Gan, Bo Du, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Sheng Wang, Ce Zhang
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A quantitative evaluation of persistent memory hash indexes VLDB J. (IF 4.2) Pub Date : 2023-09-09 Zhiwen Chen, Daokun Hu, Wenkui Che, Jianhua Sun, Hao Chen
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Optimizing RPQs over a compact graph representation VLDB J. (IF 4.2) Pub Date : 2023-09-07 Diego Arroyuelo, Adrián Gómez-Brandón, Aidan Hogan, Gonzalo Navarro, Javiel Rojas-Ledesma
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Cardinality estimation using normalizing flow VLDB J. (IF 4.2) Pub Date : 2023-08-29 Jiayi Wang, Chengliang Chai, Jiabin Liu, Guoliang Li
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xDBTagger: explainable natural language interface to databases using keyword mappings and schema graph VLDB J. (IF 4.2) Pub Date : 2023-08-23 Arif Usta, Akifhan Karakayali, Özgür Ulusoy
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MinJoin++: a fast algorithm for string similarity joins under edit distance VLDB J. (IF 4.2) Pub Date : 2023-08-21 Nikolai Karpov, Haoyu Zhang, Qin Zhang
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Tabular data synthesis with generative adversarial networks: design space and optimizations VLDB J. (IF 4.2) Pub Date : 2023-08-15 Tongyu Liu, Ju Fan, Guoliang Li, Nan Tang, Xiaoyong Du
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Quantifying the competitiveness of a dataset in relation to general preferences VLDB J. (IF 4.2) Pub Date : 2023-08-08 Kyriakos Mouratidis, Keming Li, Bo Tang
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Accelerating directed densest subgraph queries with software and hardware approaches VLDB J. (IF 4.2) Pub Date : 2023-07-31 Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han, Xiaodong Li
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Supporting secure dynamic alert zones using searchable encryption and graph embedding VLDB J. (IF 4.2) Pub Date : 2023-07-18 Sina Shaham, Gabriel Ghinita, Cyrus Shahabi
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Coalition-based task assignment with priority-aware fairness in spatial crowdsourcing VLDB J. (IF 4.2) Pub Date : 2023-07-07 Yan Zhao, Kai Zheng, Ziwei Wang, Liwei Deng, Bin Yang, Torben Bach Pedersen, Christian S. Jensen, Xiaofang Zhou
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Anytime bottom-up rule learning for large-scale knowledge graph completion VLDB J. (IF 4.2) Pub Date : 2023-06-16 Christian Meilicke, Melisachew Wudage Chekol, Patrick Betz, Manuel Fink, Heiner Stuckeschmidt
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BatchHL $$^{+}$$ : batch dynamic labelling for distance queries on large-scale networks VLDB J. (IF 4.2) Pub Date : 2023-06-07 Muhammad Farhan, Henning Koehler, Qing Wang
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HINT: a hierarchical interval index for Allen relationships VLDB J. (IF 4.2) Pub Date : 2023-06-01 George Christodoulou, Panagiotis Bouros, Nikos Mamoulis
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A near-optimal approach to edge connectivity-based hierarchical graph decomposition VLDB J. (IF 4.2) Pub Date : 2023-05-06 Lijun Chang, Zhiyi Wang
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Temporal graph patterns by timed automata VLDB J. (IF 4.2) Pub Date : 2023-05-05 Amir Aghasadeghi, Jan Van den Bussche, Julia Stoyanovich
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Streaming data cleaning based on speed change VLDB J. (IF 4.2) Pub Date : 2023-05-03 Haoyu Wang, Aoqian Zhang, Shaoxu Song, Jianmin Wang
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An analysis of one-to-one matching algorithms for entity resolution VLDB J. (IF 4.2) Pub Date : 2023-04-18 George Papadakis, Vasilis Efthymiou, Emmanouil Thanos, Oktie Hassanzadeh, Peter Christen
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ByShard: sharding in a Byzantine environment VLDB J. (IF 4.2) Pub Date : 2023-04-11 Jelle Hellings, Mohammad Sadoghi
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PANE: scalable and effective attributed network embedding VLDB J. (IF 4.2) Pub Date : 2023-03-24 Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu
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Tempura: a general cost-based optimizer framework for incremental data processing (Journal Version) VLDB J. (IF 4.2) Pub Date : 2023-03-20 Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou
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Incremental discovery of denial constraints VLDB J. (IF 4.2) Pub Date : 2023-03-17 Chaoqin Qian, Menglu Li, Zijing Tan, Ai Ran, Shuai Ma
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When hierarchy meets 2-hop-labeling: efficient shortest distance and path queries on road networks VLDB J. (IF 4.2) Pub Date : 2023-03-15 Dian Ouyang, Dong Wen, Lu Qin, Lijun Chang, Xuemin Lin, Ying Zhang
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(p,q)-biclique counting and enumeration for large sparse bipartite graphs VLDB J. (IF 4.2) Pub Date : 2023-03-13 Jianye Yang, Yun Peng, Dian Ouyang, Wenjie Zhang, Xuemin Lin, Xiang Zhao
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DynQ: a dynamic query engine with query-reuse capabilities embedded in a polyglot runtime VLDB J. (IF 4.2) Pub Date : 2023-03-13 Filippo Schiavio, Daniele Bonetta, Walter Binder