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40th ICDE 2024: Utrecht, Netherlands
- 40th International Conference on Data Engineering, ICDE 2024 - Workshops, Utrecht, Netherlands, May 13-16, 2024. IEEE 2024, ISBN 979-8-3503-8403-1
- Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao:
View-based Explanations for Graph Neural Networks (Extended Abstract). 1-2 - Frédéric Andrès, Farshad Fotouhi, Gheorghita Ghinea, Steve Tanimoto:
DECOR 2024: Where Data Engineering Meets Intelligent Food and Cooking Innovation. 1-4 - Oz Kilic, Tugba Taskaya-Temizel:
Analyzing Socioeconomic Status through Culinary Ingredients: A Large-Scale Study of Pita and Pizza Dishes. 5-12 - Vlad-Andrei Negru, Robert Vacareanu, Camelia Lemnaru, Mihai Surdeanu, Rodica Potolea:
From Text to Taste: Advancing Smart Appliances with Multilingual Recipe Interpretation. 13-20 - Vasiliki Pitsilou, George Papadakis, Dimitrios Skoutas:
Using LLMs to Extract Food Entities from Cooking Recipes. 21-28 - Shuqiang Jiang:
Food Computing for Nutrition and Health. 29-31 - Bahare Salehi, Mahmoud Sakr:
Experimental Probing of Graph Convolutional Neural Networks Architectures for Traffic Analysis. 32-39 - Yuanjie Zhuy, Hussah Alrashid, Song Bai, Chunhan Zhang, Ziliang Zhang, Zhengyi Qu, Reem Y. Ali, Amr Magdy:
On the Ecosystem of High-Definition (HD) Maps. 40-47 - Mark Roantree, Niamh Murphy, Dinh Viet Cuong, Vuong M. Ngo:
Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System. 48-55 - Emilia Lenzi, Carlo Andrea Biraghi, Giuseppe Giova, Gianmarco Naro:
Evaluating the Relationship Between Urban Structure and Mobility Through Clustering Analysis: A Case Study. 56-63 - Alex Vakaloudis, Ronan Roche, Derry Crowley, Tadhg O'Meara:
A pipeline for effective monitoring and improvement of energy metrics in public buildings. 64-70 - Kristian Brathovde, Youcef Djenouri, Anis Yazidi, Gautam Srivastava:
Intelligent Customer Behaviour Analysis in the Norwegian Market. 71-77 - Michael Benedict Ulbig, Daniel Hutzschenreuter, Barbara Jung:
Building trustworthy smart cities: a systems engineering approach to data engineering at the Smart Metrology Campus. 78-85 - Raphael de Freitas Saldanha, Víctor Ribeiro, Eduardo H. M. Pena, Marcel Pedroso, Reza Akbarinia, Patrick Valduriez, Fábio Porto:
Subset Models for Multivariate Time Series Forecast. 86-90 - Jurgen van den Hoogen, Dan Hudson, Martin Atzmueller:
Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for Starters. 91-95 - Phillip Wenig, Sebastian Schmidl, Thorsten Papenbrock:
Anomaly Detectors for Multivariate Time Series: The Proof of the Pudding is in the Eating. 96-101 - Apostolos Giannoulidis, Nikodimos Nikolaidis, Anastasios Gounaris:
Parameter-free Streaming Distance-based Outlier Detection. 102-106 - Jens E. d'Hondt, Odysseas Papapetrou, John Paparrizos:
Beyond the Dimensions: A Structured Evaluation of Multivariate Time Series Distance Measures. 107-112 - Christos Dalamagkas, Angelos Georgakis
, Ioannis Papadopoulos, Kostas Hrissagis-Chrysagis, George Papadakis:
Time Series Problems in the Energy Sector. 113-118 - Georgios Chatzigeorgakidis, Konstantinos Lentzos, Dimitrios Skoutas:
MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs. 119-127 - Romain Ilbert, Thai V. Hoang, Zonghua Zhang:
Data Augmentation for Multivariate Time Series Classification: An Experimental Study. 128-139 - Laura-Maria Tolossi-Halacheva, Radoslav Andreev, Oleg Shcherbakov, Eran Nevo:
Challenges in Modeling Drug Shortage Events in the Pharmaceutical Domain. 140-143 - Andreas Koch, Michael Petry, Martin Werner:
Extended Framework and Evaluation for Multivariate Streaming Anomaly Detection with Machine Learning. 144-152 - Max Pernklau, Christian Beecks:
Towards Ptolemaic metric properties of the z-normalized Euclidean distance for multivariate time series indexing. 153-157 - Mandani Ntekouli, Gerasimos Spanakis
Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting. 158-166 - Thibaut Germain, Charles Truong, Laurent Oudre:
Linear-trend normalization for multivariate subsequence similarity search. 167-175 - Quan Zhou, Ramen Ghosh, Robert Shorten, Jakub Marecek:
Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions. 176-181 - Wei Guo, Yan Lyu, Xueyong Xu, Weiwei Wu:
Examining and Explaining Individual Fairness in Dynamic Pricing. 182-190 - Rebekka Görge
Inspecting and Measuring Fairness of unlabeled Image Datasets. 191-200 - Andrii Kliachkin, Eleni Psaroudaki, Jakub Marecek, Dimitris Fotakis:
Fairness in Ranking: Robustness through Randomization without the Protected Attribute. 201-208 - Aristotelis Peri, Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos:
Pricefair: On fair scheduling of heterogeneous resources. 209-216 - Giorgos Giannopoulos, Maria Psalla, Loukas Kavouras, Dimitris Sacharidis
Fairness in AI: challenges in bridging the gap between algorithms and law. 217-225 - Christos Fragkathoulas, Vasiliki Papanikou, Danae Pla Karidi, Evaggelia Pitoura:
On Explaining Unfairness: An Overview. 226-236 - Abigail Langbridge, Anthony Quinn, Robert Shorten:
Optimal Transport for Fairness: Archival Data Repair using Small Research Data Sets. 237-245 - Chiara Criscuolo, Tommaso Dolci:
Exploring Fairness Interpretability with FairnessFriend: A Chatbot Solution. 246-253 - Kleopatra Markou, Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos:
A Framework for Feasible Counterfactual Exploration incorporating Causality, Sparsity and Density. 254-261 - Valerie Restat, Meike Klettke, Uta Störl:
Towards an End-to-End Data Quality Optimizer. 262-266 - Alexander K. Taylor, Yicong Huang, Junheng Hao, Xinyuan Lin, Xiusi Chen, Wei Wang, Chen Li:
Data Science Tasks Implemented with Scripts versus GUI-Based Workflows: The Good, the Bad, and the Ugly. 267-277 - Tim Zeyl, Harshwin Venugopal, Calvin Sun, Paul Larson:
CASA: Classification-based Adjusted Slot Admission Control for Query Processing Engines. 278-284 - Luca Gregori, Paolo Missier, Matthew Stidolph, Riccardo Torlone, Alessandro Wood:
Design and Development of a Provenance Capture Platform for Data Science. 285-290 - Marius Schlegel
Collaboration Management for Federated Learning. 291-300 - Zeyu Zhang, Paul Groth, Iacer Calixto, Sebastian Schelter:
Directions Towards Efficient and Automated Data Wrangling with Large Language Models. 301-304 - Zezhou Huang, Eugene Wu:
Relationalizing Tables with Large Language Models: The Promise and Challenges. 305-309 - Tatsuhiro Nakamori, Shohei Matsuura, Takashi Miyazaki, Sho Nakazono, Taiki Sato, Takashi Hoshino, Hideyuki Kawashima:
ChimeraTL: Transfer Learning in DBMS with Fewer Samples. 310-316 - Danning Zhan, Rihan Hai:
Will Sharing Metadata Leak Privacy? 317-323 - Mohamed Abdelaal, Anil Bora Yayak, Kai Klede, Harald Schöning:
ReClean: Reinforcement Learning for Automated Data Cleaning in ML Pipelines. 324-330 - Mauro Dalle Lucca Tosi
OPTWIN: Drift Identification with Optimal Sub-Windows. 331-337 - Simone Papicchio
Evaluating Ambiguous Questions in Semantic Parsing. 338-342 - Georgios Theodorakis, James Clarkson, Jim Webber:
An Empirical Evaluation of Variable-length Record B+Trees on a Modern Graph Database System. 343-349 - Jérôme Arnoux
Integrating Complex Pangenome Graphs. 350-354 - Mohanna Shahrad, Yu Ting Gu, Yunjia Zheng, Bettina Kemme:
Towards View Management in Graph Databases. 355-359 - Nicole R. Schneider, Kent O'Sullivan, Hanan Samet:
The Future of Graph-based Spatial Pattern Matching (Vision Paper). 360-364 - Nelly Barret, Tudor Enache, Ioana Manolescu, Madhulika Mohanty:
Finding the PG schema of any (semi)structured dataset: a tale of graphs and abstraction. 365-369 - Oana Balalau, Nelly Barret, Simon Ebel, Théo Galizzi, Ioana Manolescu, Madhulika Mohanty:
Graph lenses over any data: the ConnectionLens experience. 370-374 - Amedeo Pachera, Angela Bonifati, Andrea Mauri:
Towards User-Centric Graph Repairs. 375-376 - Wim Martens, Matthias Niewerth, Tina Popp, Carlos Rojas, Stijn Vansummeren, Domagoj Vrgoc:
Compact Path Representations for Graph Database Pattern Matching. 379-380 - Zhenzhen Gu, Diego Calvanese, Marco Di Panfilo
OBDF: OBDA + Data Federation - Extended Abstract. 381-383 - Anton Sachnov, Leonard von Merzljak, Maximilian E. Schüle:
Give a JIT on GPUs: NVRTC for Code-Generating Database Systems. 384-387 - Cheng Huang, Alexander Mathiasen, Josef Dean, Davide Mottin, Ira Assent
HUNIPU: Efficient Hungarian Algorithm on IPUs. 388-394 - Niklas Riekenbrauck, Marcel Weisgut, Daniel Lindner, Tilmann Rabl:
A Three-Tier Buffer Manager Integrating CXL Device Memory for Database Systems. 395-401 - Yuzhou Cai, Shimin Chen:
CPU and GPU Hash Joins on Skewed Data. 402-408
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