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ORCIDThe VLDB Journal, Volume 33
Volume 33, Number 1, January 2024
- Haoyu Wang
, Aoqian Zhang, Shaoxu Song, Jianmin Wang:
Streaming data cleaning based on speed change. 1-24 - Amir Aghasadeghi, Jan Van den Bussche, Julia Stoyanovich:
Temporal graph patterns by timed automata. 25-47 - Lijun Chang, Zhiyi Wang:
A near-optimal approach to edge connectivity-based hierarchical graph decomposition. 49-71 - George Christodoulou, Panagiotis Bouros, Nikos Mamoulis:
HINT: a hierarchical interval index for Allen relationships. 73-100 - Muhammad Farhan, Henning Koehler, Qing Wang:
BatchHL+: batch dynamic labelling for distance queries on large-scale networks. 101-129 - Christian Meilicke, Melisachew Wudage Chekol, Patrick Betz, Manuel Fink, Heiner Stuckenschmidt:
Anytime bottom-up rule learning for large-scale knowledge graph completion. 131-161 - Yan Zhao, Kai Zheng, Ziwei Wang, Liwei Deng, Bin Yang, Torben Bach Pedersen, Christian S. Jensen, Xiaofang Zhou:
Coalition-based task assignment with priority-aware fairness in spatial crowdsourcing. 163-184 - Sina Shaham, Gabriel Ghinita, Cyrus Shahabi:
Supporting secure dynamic alert zones using searchable encryption and graph embedding. 185-206 - Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han, Xiaodong Li:
Accelerating directed densest subgraph queries with software and hardware approaches. 207-230 - Kyriakos Mouratidis, Keming Li, Bo Tang:
Quantifying the competitiveness of a dataset in relation to general preferences. 231-250 - Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl:
Correction to: Survey of window types for aggregation in stream processing systems. 251 - Fan Yang, Faisal M. Almutairi, Hyun Ah Song, Christos Faloutsos, Nicholas D. Sidiropoulos, Vladimir Zadorozhny:
Correction to: TurboLift: fast accuracy lifting for historical data recovery. 253
Volume 33, Number 2, March 2024
- Tongyu Liu, Ju Fan, Guoliang Li, Nan Tang, Xiaoyong Du:
Tabular data synthesis with generative adversarial networks: design space and optimizations. 255-280 - Nikolai Karpov, Haoyu Zhang, Qin Zhang:
MinJoin++: a fast algorithm for string similarity joins under edit distance. 281-299 - Arif Usta, Akifhan Karakayali, Özgür Ulusoy:
xDBTagger: explainable natural language interface to databases using keyword mappings and schema graph. 301-321 - Jiayi Wang, Chengliang Chai, Jiabin Liu, Guoliang Li:
Cardinality estimation using normalizing flow. 323-348 - Diego Arroyuelo, Adrián Gómez-Brandón, Aidan Hogan, Gonzalo Navarro, Javiel Rojas-Ledesma:
Optimizing RPQs over a compact graph representation. 349-374 - Zhiwen Chen, Daokun Hu, Wenkui Che, Jianhua Sun, Hao Chen:
A quantitative evaluation of persistent memory hash indexes. 375-397 - Alberto Abelló, James Cheney:
Eris: efficiently measuring discord in multidimensional sources. 399-423 - Jiawei Jiang, Shaoduo Gan, Bo Du, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Sheng Wang, Ce Zhang:
A systematic evaluation of machine learning on serverless infrastructure. 425-449 - Shuhao Zhang, Juan Soto, Volker Markl:
A survey on transactional stream processing. 451-479 - Jens E. d'Hondt, Koen Minartz, Odysseas Papapetrou:
Efficient detection of multivariate correlations with different correlation measures. 481-505 - Marios Fragkoulis, Paris Carbone, Vasiliki Kalavri, Asterios Katsifodimos:
A survey on the evolution of stream processing systems. 507-541 - 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. 543-567
Volume 33, Number 3, May 2024
- Junhua Zhang, Long Yuan, Wentao Li, Lu Qin, Ying Zhang, Wenjie Zhang:
Label-constrained shortest path query processing on road networks. 569-593 - James Fang, Dmitry Lychagin, Michael J. Carey, Vassilis J. Tsotras:
A new window Clause for SQL++. 595-623 - Geon Lee, Seokbum Yoon, Jihoon Ko, Hyunju Kim, Kijung Shin:
Hypergraph motifs and their extensions beyond binary. 625-665 - Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin:
Scalable decoupling graph neural network with feature-oriented optimization. 667-683 - Anqi Liang, Bin Yao, Bo Wang, Yinpei Liu, Zhida Chen, Jiong Xie, Feifei Li:
Sub-trajectory clustering with deep reinforcement learning. 685-702 - Kai Yao, Lijun Chang, Jeffrey Xu Yu:
Identifying similar-bicliques in bipartite graphs. 703-726 - 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. 727-752 - Kai Ming Ting, Zongyou Liu, Lei Gong, Hang Zhang, Ye Zhu:
A new distributional treatment for time series anomaly detection. 753-780 - 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. 781-806 - Hong Lin, Ke Chen, Dawei Jiang, Lidan Shou, Gang Chen:
Refiner: a reliable and efficient incentive-driven federated learning system powered by blockchain. 807-831 - 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. 833-857 - Arlino Magalhães, Angelo Brayner, José Maria Monteiro:
MM-DIRECT. 859-882 - Tong Jia, Ying Li, Yong Yang, Gang Huang:
Hilogx: noise-aware log-based anomaly detection with human feedback. 883-900
Volume 33, Number 4, July 2024
- Matthias Boehm, Nesime Tatbul:
Special issue on "Machine learning and databases". 901 - Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang:
F-IVM: analytics over relational databases under updates. 903-929 - Enhui Huang, Yanlei Diao, Anna Liu, Liping Peng, Luciano Di Palma:
Efficient and robust active learning methods for interactive database exploration. 931-956 - Felix Neutatz, Marius Lindauer, Ziawasch Abedjan:
AutoML in heavily constrained applications. 957-979 - Venkata Vamsikrishna Meduri, Abdul Quamar, Chuan Lei, Xiao Qin, Berthold Reinwald:
Alfa: active learning for graph neural network-based semantic schema alignment. 981-1011 - Dan Olteanu, Nils Vortmeier, Dorde Zivanovic:
Givens rotations for QR decomposition, SVD and PCA over database joins. 1013-1037 - Matteo Paganelli, Donato Tiano, Francesco Guerra:
A multi-facet analysis of BERT-based entity matching models. 1039-1064 - 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. 1065-1084 - Immanuel Trummer:
DB-BERT: making database tuning tools "read" the manual. 1085-1104 - Andy Huynh, Harshal A. Chaudhari, Evimaria Terzi, Manos Athanassoulis:
Towards flexibility and robustness of LSM trees. 1105-1128 - Sergey Redyuk, Zoi Kaoudi, Sebastian Schelter, Volker Markl:
Assisted design of data science pipelines. 1129-1153 - Tin Vu, Alberto Belussi, Sara Migliorini, Ahmed Eldawy:
A learning-based framework for spatial join processing: estimation, optimization and tuning. 1155-1177 - Yuanfeng Song, Raymond Chi-Wing Wong, Xuefang Zhao:
Speech-to-SQL: toward speech-driven SQL query generation from natural language question. 1179-1201 - Nima Shahbazi, Abolfazl Asudeh:
Reliability evaluation of individual predictions: a data-centric approach. 1203-1230
Volume 33, Number 5, September 2024
- Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang:
Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems. 1231-1255 - Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Discovering approximate implicit domain orders through order dependencies. 1257-1282 - Jiwon Chang, Bohan Cui, Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish:
Data distribution tailoring revisited: cost-efficient integration of representative data. 1283-1306 - Xingguang Chen, Rong Zhu, Bolin Ding, Sibo Wang, Jingren Zhou:
Lero: applying learning-to-rank in query optimizer. 1307-1331 - Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi:
Hyper-distance oracles in hypergraphs. 1333-1356 - Gongyu Shi, Geng Wang, Shifeng Sun, Dawu Gu:
Efficient cryptanalysis of an encrypted database supporting data interoperability. 1357-1375 - Chen Jason Zhang, Yunrui Liu, Pengcheng Zeng, Ting Wu, Lei Chen, Pan Hui, Fei Hao:
Similarity-driven and task-driven models for diversity of opinion in crowdsourcing markets. 1377-1398 - Kai Wang, Minghao Cai, Xiaoshuang Chen, Xuemin Lin, Wenjie Zhang, Lu Qin, Ying Zhang:
Efficient algorithms for reachability and path queries on temporal bipartite graphs. 1399-1426 - Yichen Xu, Chenhao Ma, Yixiang Fang, Zhifeng Bao:
Efficient and effective algorithms for densest subgraph discovery and maintenance. 1427-1452 - Zhibin Wang, Longbin Lai, Yixue Liu, Bing Shui, Chen Tian, Sheng Zhong:
Parallelization of butterfly counting on hierarchical memory. 1453-1484 - Haoze Song, Wenchao Zhou, Heming Cui, Xiang Peng, Feifei Li:
A survey on hybrid transactional and analytical processing. 1485-1515 - Peng Peng, Shengyi Ji, M. Tamer Özsu, Lei Zou:
Minimum motif-cut: a workload-aware RDF graph partitioning strategy. 1517-1542 - Yifei Xia, Feng Zhang, Qingyu Xu, Mingde Zhang, Zhiming Yao, Lv Lu, Xiaoyong Du, Dong Deng, Bingsheng He, Siqi Ma:
GPU-based butterfly counting. 1543-1567 - Xenophon Kitsios, Panagiotis Liakos, Katia Papakonstantinopoulou, Yannis Kotidis:
Flexible grouping of linear segments for highly accurate lossy compression of time series data. 1569-1589 - James Jie Pan, Jianguo Wang, Guoliang Li:
Survey of vector database management systems. 1591-1615 - Zhiyu Liang, Hongzhi Wang:
FedST: secure federated shapelet transformation for time series classification. 1617-1641 - Yifei Yang, Xiangyao Yu, Marco Serafini, Ashraf Aboulnaga, Michael Stonebraker:
FlexpushdownDB: rethinking computation pushdown for cloud OLAP DBMSs. 1643-1670 - Franziska Neuhof, Marco Fisichella, George Papadakis, Konstantinos Nikoletos, Nikolaus Augsten, Wolfgang Nejdl, Manolis Koubarakis:
Open benchmark for filtering techniques in entity resolution. 1671-1696 - Zirui Liu, Fenghao Dong, Chengwu Liu, Xiangwei Deng, Tong Yang, Yikai Zhao, Jizhou Li, Bin Cui, Gong Zhang:
WavingSketch: an unbiased and generic sketch for finding top-k items in data streams. 1697-1722 - Xingyi Zhang, Jinchao Huang, Fangyuan Zhang, Sibo Wang:
FICOM: an effective and scalable active learning framework for GNNs on semi-supervised node classification. 1723-1742 - Xinle Wu, Xingjian Wu, Bin Yang, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu, Zhenli Sheng, Christian S. Jensen:
AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting. 1743-1770 - Hong Lin, Ke Chen, Dawei Jiang, Lidan Shou, Gang Chen:
Correction to: "Refiner: a reliable and efficient incentive-driven federated learning system powered by blockchain". 1771
Volume 33, Number 6, November 2024
- Norman May, Spyros Blanas, Danica Porobic:
Special issue: modern hardware. 1773-1774 - Hamish Nicholson, Periklis Chrysogelos, Anastasia Ailamaki:
HPCache: memory-efficient OLAP through proportional caching revisited. 1775-1791 - Tianyu Li, Badrish Chandramouli, Samuel Madden:
Performant almost-latch-free data structures using epoch protection in more depth. 1793-1812 - Ruihong Wang, Chuqing Gao, Jianguo Wang, Prishita Kadam, M. Tamer Özsu, Walid G. Aref:
Optimizing LSM-based indexes for disaggregated memory. 1813-1836
- Zhuochen Fan, Bowen Ye, Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Zirui Liu, Bin Cui:
Enabling space-time efficient range queries with REncoder. 1837-1859 - Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang:
Discovering critical vertices for reinforcement of large-scale bipartite networks. 1861-1886 - Zeyu Wang, Qitong Wang, Peng Wang, Themis Palpanas, Wei Wang:
DumpyOS: A data-adaptive multi-ary index for scalable data series similarity search. 1887-1911 - Yiran Li, Gongyao Guo, Jieming Shi, Renchi Yang, Shiqi Shen, Qing Li, Jun Luo:
A versatile framework for attributed network clustering via K-nearest neighbor augmentation. 1913-1943
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