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ORCID33rd SSDBM 2021: Tampa, FL, USA
- Qiang Zhu, Xingquan Zhu, Yicheng Tu, Zichen Xu, Anand Kumar:
SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, Tampa, FL, USA, July 6-7, 2021. ACM 2021, ISBN 978-1-4503-8413-1
Research Full Papers
- Jiaming Feng, Zheng Huang, Jie Guo, Weidong Qiu:
Unsupervised Anomaly Detection for Time Series with Outlier Exposure. 1-12 - Qiuyi Lyu, Mo Sha, Bin Gong, Kuangda Lyu
:
Accelerating Depth-First Traversal by Graph Ordering. 13-24 - Maximilian E. Schüle, Harald Lang, Maximilian Springer, Alfons Kemper, Thomas Neumann, Stephan Günnemann:
In-Database Machine Learning with SQL on GPUs. 25-36 - Dalsu Choi, Hyunsik Yoon, Yon Dohn Chung:
Subarray Skyline Query Processing in Array Databases. 37-48 - Sarah McClain, Manya Mutschler-Aldine, Colin Monaghan, David Chiu, Jason Sawin, Patrick Jarvis:
Caching Support for Range Query Processing on Bitmap Indices. 49-60 - Ana Claudia Sima, Tarcisio Mendes de Farias, Maria Anisimova, Christophe Dessimoz, Marc Robinson-Rechavi, Erich Zbinden, Kurt Stockinger:
Bio-SODA: Enabling Natural Language Question Answering over Knowledge Graphs without Training Data. 61-72 - Giannis Evagorou, Thomas Heinis:
MAMBO - Indexing Dead Space to Accelerate Spatial Queries✱. 73-84 - Xiaozhou Liu, Yudi Santoso, Venkatesh Srinivasan, Alex Thomo:
Distributed Enumeration of Four Node Graphlets at Quadrillion-Scale. 85-96 - Nikolaos Kardoulakis, Kenza Kellou-Menouer, Georgia Troullinou, Zoubida Kedad, Dimitris Plexousakis, Haridimos Kondylakis:
HInT: Hybrid and Incremental Type Discovery for Large RDF Data Sources. 97-108 - Jie Song, H. V. Jagadish, George Alter:
SDTA: An Algebra for Statistical Data Transformation. 109-120 - Julian Busch, Anton Kocheturov, Volker Tresp, Thomas Seidl:
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. 121-132 - Manuel Hotz, Theodoros Chondrogiannis, Leonard Wörteler, Michael Grossniklaus:
Online Landmark-Based Batch Processing of Shortest Path Queries. 133-144 - Fatemeh Esfahani, Mahsa Daneshmand, Venkatesh Srinivasan, Alex Thomo, Kui Wu:
Truss Decomposition on Large Probabilistic Networks using H-Index. 145-156 - Kyle Langendoen, Brad Glasbergen, Khuzaima Daudjee:
NIR-Tree: A Non-Intersecting R-Tree. 157-168 - Namit Juneja, Jaroslaw Zola, Varun Chandola, Olga Wodo:
Graph-based Strategy for Establishing Morphology Similarity. 169-180 - Yanchuan Chang, Jianzhong Qi, Egemen Tanin, Xingjun Ma, Hanan Samet:
Sub-trajectory Similarity Join with Obfuscation. 181-192
Research Short Papers
- Maximilian E. Schüle, Tobias Götz, Alfons Kemper, Thomas Neumann:
ArrayQL for Linear Algebra within Umbra. 193-196 - Chao Zhang, Jiaheng Lu, Qingsong Guo, Xinyong Zhang, Xiaochun Han, Minqi Zhou:
Automatic View Selection in Graph Databases. 197-202 - Van Long Nguyen Huu, Laurent d'Orazio, Emmanuel Casseau, Julien Lallet:
MASCARA-FPGA cooperation model: Query Trimming through accelerators. 203-208 - Fabian Berns, Joschka Hannes Strueber, Christian Beecks:
Local Gaussian Process Model Inference Classification for Time Series Data. 209-213 - Michal Bechny, Florian Sobieczky, Jürgen Zeindl, Lisa Ehrlinger:
Missing Data Patterns: From Theory to an Application in the Steel Industry. 214-219 - Manuel Fritz, Gang Shao, Holger Schwarz:
Automatic Selection of Analytic Platforms with ASAP-DM. 220-225 - Rafael S. Pereira, Yania Molina Souto, Anderson Chaves da Silva, Rocío Zorilla, Brian Tsan, Florin Rusu, Eduardo S. Ogasawara, Artur Ziviani, Fábio Porto:
DJEnsemble: a Cost-Based Selection and Allocation of a Disjoint Ensemble of Spatio-temporal Models. 226-231 - Sharmin Afrose, Tanzima Hashem, Mohammed Eunus Ali:
Frequent Itemsets Mining with a Guaranteed Local Differential Privacy in Small Datasets. 232-236 - Mohammad Saiedur Rahaman, Wei Shao, Flora D. Salim, Ayad Turky, Andy Song, Jeffrey Chan, Junliang Jiang, Doug Bradbrook:
MoParkeR : Multi-objective Parking Recommendation. 237-242 - Thanasis Vergoulis, Konstantinos Zagganas, Loukas Kavouras, Martin Reczko, Stelios Sartzetakis, Theodore Dalamagas:
SCHeMa: Scheduling Scientific Containers on a Cluster of Heterogeneous Machines. 243-247 - Giannis Vassiliou, Georgia Troullinou, Nikolaos Papadakis, Haridimos Kondylakis:
WBSum: Workload-based Summaries for RDF/S KBs. 248-252 - Dai Hai Ton That, Mohammadsaleh Gharehdaghi, Alexander Rasin, Tanu Malik:
On Lowering Merge Costs of an LSM Tree. 253-258 - Julien Mirval, Luc Bouganim, Iulian Sandu Popa:
Practical Fully-Decentralized Secure Aggregation for Personal Data Management Systems. 259-264
Demonstration Paper
- Kyoseung Koo, Juhun Kim, Bongki Moon:
MISE: An Array-Based Integrated System for Atmospheric Scanning LiDAR. 265-269
Keynote Papers
- Chris Jermaine:
The Tensor-Relational Algebra, and Other Ideas in Machine Learning System Design. 270 - Shashi Shekhar:
What is special about spatial data science and Geo-AI? 271
Panel Paper
- Alfredo Cuzzocrea:
Scalable Query Processing and Query Engines over Cloud Databases: Models, Paradigms, Techniques, Future Challenges. 272-275
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