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The VLDB Journal, Volume 31
Volume 31, Number 1, January 2022
- Jan Kossmann, Thorsten Papenbrock, Felix Naumann:
Data dependencies for query optimization: a survey. 1-22 - Yifan Zhu, Lu Chen, Yunjun Gao, Christian S. Jensen:
Pivot selection algorithms in metric spaces: a survey and experimental study. 23-47 - Sebastian Schmidl, Thorsten Papenbrock:
Efficient distributed discovery of bidirectional order dependencies. 49-74 - Anton Dignös, Michael H. Böhlen, Johann Gamper, Christian S. Jensen, Peter Moser:
Leveraging range joins for the computation of overlap joins. 75-99 - You Peng, Xuemin Lin, Ying Zhang, Wenjie Zhang, Lu Qin:
Answering reachability and K-reach queries on large graphs with label constraints. 101-127 - Wentao Li, Miao Qiao, Lu Qin, Ying Zhang, Lijun Chang, Xuemin Lin:
Distance labeling: on parallelism, compression, and ordering. 129-155 - Elias Alevizos, Alexander Artikis, Georgios Paliouras:
Complex event forecasting with prediction suffix trees. 157-180 - Richard T. Snodgrass, Sabah Currim, Young-Kyoon Suh:
Have query optimizers hit the wall? 181-200
Volume 31, Number 2, March 2022
- Angela Bonifati, Hannes Voigt:
Special issue on big graph data management and processing. 201-202 - Kai Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang:
Towards efficient solutions of bitruss decomposition for large-scale bipartite graphs. 203-226 - Qingyuan Linghu, Fan Zhang, Xuemin Lin, Wenjie Zhang, Ying Zhang:
Anchored coreness: efficient reinforcement of social networks. 227-252 - Da Yan, Wenwen Qu, Guimu Guo, Xiaoling Wang, Yang Zhou:
PrefixFPM: a parallel framework for general-purpose mining of frequent and closed patterns. 253-286 - Da Yan, Guimu Guo, Jalal Khalil, M. Tamer Özsu, Wei-Shinn Ku, John C. S. Lui:
G-thinker: a general distributed framework for finding qualified subgraphs in a big graph with load balancing. 287-320 - Aisha Mohamed, Ghadeer Abuoda, Abdurrahman Ghanem, Zoi Kaoudi, Ashraf Aboulnaga:
RDFFrames: knowledge graph access for machine learning tools. 321-346 - Tomer Sagi, Matteo Lissandrini, Torben Bach Pedersen, Katja Hose:
A design space for RDF data representations. 347-373 - Christopher Rost, Kevin Gómez, Matthias Täschner, Philip Fritzsche, Lucas Schons, Lukas Christ, Timo Adameit, Martin Junghanns, Erhard Rahm:
Distributed temporal graph analytics with GRADOOP. 375-401 - Glenn S. Bevilacqua, Laks V. S. Lakshmanan:
A fractional memory-efficient approach for online continuous-time influence maximization. 403-429
Volume 31, Number 3, May 2022
- Waqas Ali, Muhammad Saleem, Bin Yao, Aidan Hogan, Axel-Cyrille Ngonga Ngomo:
A survey of RDF stores & SPARQL engines for querying knowledge graphs. 1-26 - Evaggelia Pitoura, Kostas Stefanidis, Georgia Koutrika:
Fairness in rankings and recommendations: an overview. 431-458 - Arif Hidayat, Muhammad Aamir Cheema, Xuemin Lin, Wenjie Zhang, Ying Zhang:
Continuous monitoring of moving skyline and top-k queries. 459-482 - Muhammad Farhan, Qing Wang, Yu Lin, Brendan D. McKay:
Fast fully dynamic labelling for distance queries. 483-506 - Tianyu Zhao, Shuai Huang, Yong Wang, Chengliang Chai, Guoliang Li:
RNE: computing shortest paths using road network embedding. 507-528 - Zhuohang Lai, Xibo Sun, Qiong Luo, Xiaolong Xie:
Accelerating multi-way joins on the GPU. 529-553 - Sabrina De Capitani di Vimercati, Sara Foresti, Sushil Jajodia, Giovanni Livraga, Stefano Paraboschi, Pierangela Samarati:
An authorization model for query execution in the cloud. 555-579 - Kai Huang, Haibo Hu, Shuigeng Zhou, Jihong Guan, Qingqing Ye, Xiaofang Zhou:
Privacy and efficiency guaranteed social subgraph matching. 581-602
Volume 31, Number 4, July 2022
- Dong Wen, Bohua Yang, Ying Zhang, Lu Qin, Dawei Cheng, Wenjie Zhang:
Span-reachability querying in large temporal graphs. 629-647 - Jalal Khalil, Da Yan, Guimu Guo, Lyuheng Yuan:
Parallel mining of large maximal quasi-cliques. 649-674 - Kenza Kellou-Menouer, Nikolaos Kardoulakis, Georgia Troullinou, Zoubida Kedad, Dimitris Plexousakis, Haridimos Kondylakis:
A survey on semantic schema discovery. 675-710 - Manuel Fritz, Michael Behringer, Dennis Tschechlov, Holger Schwarz:
Efficient exploratory clustering analyses in large-scale exploration processes. 711-732 - Libin Zheng, Lei Chen, Peng Cheng:
Privacy-preserving worker allocation in crowdsourcing. 733-751 - Xuedi Qin, Chengliang Chai, Yuyu Luo, Tianyu Zhao, Nan Tang, Guoliang Li, Jianhua Feng, Xiang Yu, Mourad Ouzzani:
Interactively discovering and ranking desired tuples by data exploration. 753-777 - Yuqing Zhu, Jing Tang, Xueyan Tang:
Optimal price profile for influential nodes in online social networks. 779-795 - Daichi Amagata, Makoto Onizuka, Takahiro Hara:
Fast, exact, and parallel-friendly outlier detection algorithms with proximity graph in metric spaces. 797-821
Volume 31, Number 5, September 2022
- Zi Huang, Yanyan Shen, Divesh Srivastava:
Special issue on responsible data management and data science. 823 - Pei Li, Jaroslaw Szlichta, Michael H. Böhlen, Divesh Srivastava:
ABC of order dependencies. 825-849 - Renzo Arturo Alva Principe, Andrea Maurino, Matteo Palmonari, Michele Ciavotta, Blerina Spahiu:
ABSTAT-HD: a scalable tool for profiling very large knowledge graphs. 851-876 - Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang:
Fast-adapting and privacy-preserving federated recommender system. 877-896 - Sheng Xiang, Dong Wen, Dawei Cheng, Ying Zhang, Lu Qin, Zhengping Qian, Xuemin Lin:
General graph generators: experiments, analyses, and improvements. 897-925 - Zifan Liu, Zhechun Zhou, Theodoros Rekatsinas:
Picket: guarding against corrupted data in tabular data during learning and inference. 927-955 - Yong-Feng Ge, Maria E. Orlowska, Jinli Cao, Hua Wang, Yanchun Zhang:
MDDE: multitasking distributed differential evolution for privacy-preserving database fragmentation. 957-975 - Egawati Panjei, Le Gruenwald, Eleazar Leal, Christopher Nguyen, Shejuti Silvia:
A survey on outlier explanations. 977-1008 - Weixin Zeng, Xiang Zhao, Xinyi Li, Jiuyang Tang, Wei Wang:
On entity alignment at scale. 1009-1033 - Qingyu Xu, Feng Zhang, Mingde Zhang, Jidong Zhai, Bingsheng He, Cheng Yang, Shuhao Zhang, Jiazao Lin, Haidi Liu, Xiaoyong Du:
Payment behavior prediction on shared parking lots with TR-GCN. 1035-1058 - Shazia Wasim Sadiq, Amir Aryani, Gianluca Demartini, Wen Hua, Marta Indulska, Andrew Burton-Jones, Hassan Khosravi, Diana Benavides Prado, Timos Sellis, Ida Asadi Someh, Rhema Vaithianathan, Sen Wang, Xiaofang Zhou:
Information Resilience: the nexus of responsible and agile approaches to information use. 1059-1084 - Fanzhen Liu, Zhao Li, Baokun Wang, Jia Wu, Jian Yang, Jiaming Huang, Yiqing Zhang, Weiqiang Wang, Shan Xue, Surya Nepal, Quan Z. Sheng:
eRiskCom: an e-commerce risky community detection platform. 1085-1101 - Stefan Grafberger, Paul Groth, Julia Stoyanovich, Sebastian Schelter:
Data distribution debugging in machine learning pipelines. 1103-1126 - Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu:
Deep treatment-adaptive network for causal inference. 1127-1142 - Rui Zhang, Bayu Distiawan Trisedya, Miao Li, Yong Jiang, Jianzhong Qi:
A benchmark and comprehensive survey on knowledge graph entity alignment via representation learning. 1143-1168
Volume 31, Number 6, November 2022
- Danica Porobic:
Special issue on the best papers of DaMoN 2020. 1169 - Henning Funke, Jan Mühlig, Jens Teubner:
Low-latency query compilation. 1171-1184 - Tiemo Bang, Norman May, Ilia Petrov, Carsten Binnig:
The full story of 1000 cores. 1185-1213 - Johannes Pietrzyk, Alexander Krause, Dirk Habich, Wolfgang Lehner:
To share or not to share vector registers? 1215-1236 - Magdalena Balazinska, Xiaofang Zhou:
Editorial for S.I.: VLDB 2020. 1237-1238 - Yihe Huang, William Qian, Eddie Kohler, Barbara Liskov, Liuba Shrira:
Opportunities for optimism in contended main-memory multicore transactions. 1239-1261 - Srikanth Kandula, Laurel J. Orr, Surajit Chaudhuri:
Data-induced predicates for sideways information passing in query optimizers. 1263-1290 - Maurice Herlihy, Barbara Liskov, Liuba Shrira:
Cross-chain deals and adversarial commerce. 1291-1309 - Yuanbing Li, Xian Wu, Yifei Jin, Jian Li, Guoliang Li, Jianhua Feng:
Adapative algorithms for crowd-aided categorization. 1311-1337 - Bolong Zheng, Xi Zhao, Lianggui Weng, Quoc Viet Hung Nguyen, Hang Liu, Christian S. Jensen:
PM-LSH: a fast and accurate in-memory framework for high-dimensional approximate NN and closest pair search. 1339-1363 - Bingqing Lyu, Lu Qin, Xuemin Lin, Ying Zhang, Zhengping Qian, Jingren Zhou:
Maximum and top-k diversified biclique search at scale. 1365-1389
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