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SSDBM
1981
1996
2006
2024
1981
2024
Keyphrases
Publications
2024
Proceedings of the 36th International Conference on Scientific and Statistical Database Management, SSDBM 2024, Rennes, France, July 10-12, 2024
SSDBM
(2024)
Daniel Balouek
Performance-cost trade-offs in service orchestration for edge computing.
SSDBM
(2024)
Nahan Maligeay
,
Noémie Bossut
,
Khalid Belhajjame
Why Do Scientific Workflows Still Break?
SSDBM
(2024)
Ben Lenard
,
Alexander Rasin
,
Nick Scope
,
Thamer Al Johani
The Intersection of Compliance, Databases, and IT Operations.
SSDBM
(2024)
Zitong Wang
,
Xuexiong Luo
,
Enfeng Song
,
Qiuqing Bai
,
Fu Lin
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning.
SSDBM
(2024)
Nick Scope
,
Alexander Rasin
,
Ben Lenard
,
James Wagner
Statistical Privacy and Consent in Data Aggregation.
SSDBM
(2024)
Mayur Patil
,
Chinya V. Ravishankar
Model Reuse in Learned Spatial Indexes.
SSDBM
(2024)
Alexander Rasin
,
James Herbick
,
Ben Lenard
,
Nick Scope
,
James Wagner
On Vulnerability of Access Control Restrictions to Timing Attacks in a Database Management System.
SSDBM
(2024)
Chanattan Sok
,
Laurent d'Orazio
,
Reyyan Tekin
,
Dimitri Tombroff
WebAssembly serverless join: A Study of its Application.
SSDBM
(2024)
Ademola Adesokan
,
Sanjay Madria
CURD: Context-aware Relevance and Urgency Determination.
SSDBM
(2024)
Kaveen Hiniduma
,
Suren Byna
,
Jean Luca Bez
,
Ravi Madduri
AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI.
SSDBM
(2024)
Sebastian Pohl
,
Nourhan Elfaramawy
,
Artur Miling
,
Kedi Cao
,
Birte Kehr
,
Matthias Weidlich
How Do Users Design Scientific Workflows? The Case of Snakemake and Nextflow.
SSDBM
(2024)
Fatemeh Farokhmanesh
,
Christoph Neuhauser
,
Rüdiger Westermann
A Compact and Efficient Neural Data Structure for Mutual Information Estimation in Large Timeseries.
SSDBM
(2024)
Chuan Hu
,
Jiawei Cai
,
Zihao Zhao
,
Zhihong Shen
BIT: Using Bitmap Index to Speed Up NCBI Taxonomy Computing.
SSDBM
(2024)
Akram Bensalem
,
Laurent d'Orazio
,
Julien Lallet
,
Andrea Enrici
VG-Prefetcher Cache: Towards Edge-Based Time Series Data Management Using Visibility Graph Prefetching.
SSDBM
(2024)
Daniel Betsche
,
Balduin Katzer
,
Katrin Schulz
,
Klemens Böhm
Towards a Temporal Graph Query Language for Durable Patterns.
SSDBM
(2024)
Hasan M. Jamil
,
Joel Oduro-Afriyie
Knowledge Graph Enhancement for Improved Natural Language Health Question Answering using Large Language Models.
SSDBM
(2024)
Abdoulaye Diop
,
Nabil El Malki
,
Max Chevalier
,
André Péninou
,
Geoffrey Roman-Jimenez
,
Olivier Teste
Similarity Measures Recommendation for Mixed Data Clustering.
SSDBM
(2024)
Chuan Hu
,
Zihao Zhao
,
Along Mao
,
Zhihong Shen
A Model and Query Language for Multi-modal Hybrid Query.
SSDBM
(2024)
Zhijing Yang
,
Hui Zhang
,
Chunming Yang
,
Bo Li
,
Xujian Zhao
,
Yin Long
Scale Fairness on Spectral Clustering.
SSDBM
(2024)
2023
Julien Mirval
,
Luc Bouganim
,
Iulian Sandu Popa
Federated Learning on Personal Data Management Systems: Decentralized and Reliable Secure Aggregation Protocols.
SSDBM
(2023)
Quan Wan
,
Shuo Yin
,
Xiangyue Liu
,
Jianliang Gao
,
Yuhui Zhong
TGSLN : Time-aware Graph Structure Learning Network for Multi-variates Stock Sector Ranking Recommendation.
SSDBM
(2023)
Proceedings of the 35th International Conference on Scientific and Statistical Database Management, SSDBM 2023, Los Angeles, CA, USA, July 10-12, 2023
SSDBM
(2023)
Athanasios Georgoutsos
,
Paraskevas Kerasiotis
,
Verena Kantere
Early ICU Mortality Prediction with Deep Federated Learning: A Real-World Scenario.
SSDBM
(2023)
Yang Wang
,
Xu Chen
,
Yang Shu Wang
,
Jun Yong Jing
A Long-term Time Series Forecasting method with Multiple Decomposition.
SSDBM
(2023)
Xin Zhang
,
Ahmed Eldawy
Less is More: How Fewer Results Improve Progressive Join Query Processing.
SSDBM
(2023)
Pitikorn Khlaisamniang
,
Suronapee Phoomvuthisarn
ST-CopulaGNN : A Multi-View Spatio-Temporal Graph Neural Network for Traffic Forecasting.
SSDBM
(2023)
Lixi Zhou
,
Lei Yu
,
Jia Zou
,
Hong Min
Privacy-Preserving Redaction of Diagnosis Data through Source Code Analysis.
SSDBM
(2023)
Michael Behringer
,
Pascal Hirmer
Interactive Data Mashups for User-Centric Data Analysis.
SSDBM
(2023)
Shota Suzuki
,
Rage Uday Kiran
Towards Efficient Discovery of Spatially Interesting Patterns in Geo-referenced Sequential Databases.
SSDBM
(2023)
Joshua Chung
,
Marcos López de Prado
,
Horst D. Simon
,
Kesheng Wu
Data Driven Dimensionality Reduction to Improve Modeling Performance✱.
SSDBM
(2023)
Wenbo Sun
,
Asterios Katsifodimos
,
Rihan Hai
Accelerating Machine Learning Queries with Linear Algebra Query Processing.
SSDBM
(2023)
Abdulrahman Salama
,
Mahmoud Elkamhawy
,
Mohamed Ali
,
Eyhab Al-Masri
,
Adel Sabour
,
Abdeltawab M. Hendawi
,
Ming Tan
,
Vashutosh Agrawal
,
Ravi Prakash
A Computer Vision Approach for Detecting Discrepancies in Map Textual Labels.
SSDBM
(2023)
Matteo Ceccarello
,
Anton Dignös
,
Johann Gamper
,
Christina Khnaisser
Indexing Temporal Relations for Range-Duration Queries.
SSDBM
(2023)
Chenglin Zeng
,
Chuan Hu
,
Huajin Wang
,
Zhihong Shen
SciDG: Benchmarking Scientific Dynamic Graph Queries.
SSDBM
(2023)
Yili Wang
,
Jiamin Chen
,
Qiutong Li
,
Changlong He
,
Jianliang Gao
MSLS: Meta-graph Search with Learnable Supernet for Heterogeneous Graph Neural Networks.
SSDBM
(2023)
Jonathan Will
,
Lauritz Thamsen
,
Dominik Scheinert
,
Odej Kao
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing?
SSDBM
(2023)
Fu Lin
,
Haonan Gong
,
Mingkang Li
,
Zitong Wang
,
Yue Zhang
,
Xuexiong Luo
Multi-representations Space Separation based Graph-level Anomaly-aware Detection.
SSDBM
(2023)
Jianliang Gao
,
Changlong He
,
Jiamin Chen
,
Qiutong Li
,
Yili Wang
Decoupled Graph Neural Architecture Search with Variable Propagation Operation and Appropriate Depth.
SSDBM
(2023)
Bingbing Xie
,
Xiaoxiao Ma
,
Jia Wu
,
Jian Yang
,
Shan Xue
,
Hao Fan
Heterogeneous Graph Neural Network via Knowledge Relations for Fake News Detection.
SSDBM
(2023)
Andreas Hackl
,
Jürgen Zeindl
,
Lisa Ehrlinger
Four Factors Affecting Missing Data Imputation.
SSDBM
(2023)
Mikayla Biggs
,
Yaohua Wang
,
Neetu Soni
,
Sarv Priya
,
Girish Bathla
,
Guadalupe Canahuate
Evaluating Autoencoders for Dimensionality Reduction of MRI-derived Radiomics and Classification of Malignant Brain Tumors.
SSDBM
(2023)
Alfredo Cuzzocrea
Privacy-Preserving OLAP via Modeling and Analysis of Query Workloads: Innovative Theories and Theorems.
SSDBM
(2023)
Armin Esmaeilzadeh
,
Lukasz Golab
,
Kazem Taghva
InfoMoD: Information-theoretic Model Diagnostics.
SSDBM
(2023)
Ivan Carvalho
,
Ramon Lawrence
LearnedSort as a learning-augmented SampleSort: Analysis and Parallelization.
SSDBM
(2023)
Daichi Amagata
,
Alejandro Ramos
,
Ryo Shirai
,
Takahiro Hara
Fast Algorithm for Embedded Order Dependency Validation.
SSDBM
(2023)
Yuzhou Fang
,
Liang Cai
,
Weiwei Qiu
,
Fanglei Huang
,
Huaihai Hui
ESM2-Tree: An maintenance efficient authentication data structure in blockchain.
SSDBM
(2023)
2022
Wissam Mammar Kouadri
,
Salima Benbernou
,
Mourad Ouziri
,
Iheb Ben Amor
WSSA: Weakly Supervised Semantic-based approach for Sentiment Analysis.
SSDBM
(2022)
Brandon Lavinsky
,
Xuechen Zhang
PM-Rtree: A Highly-Efficient Crash-Consistent R-tree for Persistent Memory.
SSDBM
(2022)
Junmin Gu
,
Greg Eisenhauer
,
Scott Klasky
,
Norbert Podhorszki
,
Ruonan Wang
,
Kesheng Wu
Exploring Large All-Flash Storage System with Scientific Simulation.
SSDBM
(2022)