Table of Contents

• DECOR 2024: Where Data Engineering Meets Intelligent Food and Cooking InnovationFrédéric Andrès, Farshad Fotouhi, Gheorghita Ghinea, Steve Tanimoto. 1-4 [doi]
• View-based Explanations for Graph Neural Networks (Extended Abstract)Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan 0001, Xiangyu Ke, Yunjun Gao. 1-2 [doi]
• Analyzing Socioeconomic Status through Culinary Ingredients: A Large-Scale Study of Pita and Pizza DishesOz Kilic, Tugba Taskaya-Temizel. 5-12 [doi]
• From Text to Taste: Advancing Smart Appliances with Multilingual Recipe InterpretationVlad-Andrei Negru, Robert Vacareanu, Camelia Lemnaru, Mihai Surdeanu, Rodica Potolea. 13-20 [doi]
• Using LLMs to Extract Food Entities from Cooking RecipesVasiliki Pitsilou, George Papadakis, Dimitrios Skoutas. 21-28 [doi]
• Food Computing for Nutrition and HealthShuqiang Jiang. 29-31 [doi]
• Experimental Probing of Graph Convolutional Neural Networks Architectures for Traffic AnalysisBahare Salehi, Mahmoud Sakr. 32-39 [doi]
• On the Ecosystem of High-Definition (HD) MapsYuanjie Zhuy, Hussah AlRashid, Song Bai, Chunhan Zhang, Ziliang Zhang, Zhengyi Qu, Reem Y. Ali, Amr Magdy 0001. 40-47 [doi]
• Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing SystemMark Roantree, Niamh Murphy, Dinh Viet Cuong, Vuong M. Ngo. 48-55 [doi]
• Evaluating the Relationship Between Urban Structure and Mobility Through Clustering Analysis: A Case StudyEmilia Lenzi, Carlo Andrea Biraghi, Giuseppe Giova, Gianmarco Naro. 56-63 [doi]
• A pipeline for effective monitoring and improvement of energy metrics in public buildingsAlex Vakaloudis, Ronan Roche, Derry Crowley, Tadhg O'Meara. 64-70 [doi]
• Intelligent Customer Behaviour Analysis in the Norwegian MarketKristian Brathovde, Youcef Djenouri, Anis Yazidi, Gautam Srivastava 0001. 71-77 [doi]
• Building trustworthy smart cities: a systems engineering approach to data engineering at the Smart Metrology CampusMichael Benedict Ulbig, Daniel Hutzschenreuter, Barbara Jung. 78-85 [doi]
• Subset Models for Multivariate Time Series ForecastRaphael de Freitas Saldanha, Víctor Ribeiro, Eduardo H. M. Pena, Marcel Pedroso, Reza Akbarinia, Patrick Valduriez, Fábio Porto 0001. 86-90 [doi]
• Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for StartersJurgen van den Hoogen, Dan Hudson, Martin Atzmueller. 91-95 [doi]
• Anomaly Detectors for Multivariate Time Series: The Proof of the Pudding is in the EatingPhillip Wenig, Sebastian Schmidl, Thorsten Papenbrock. 96-101 [doi]
• Parameter-free Streaming Distance-based Outlier DetectionApostolos Giannoulidis, Nikodimos Nikolaidis, Anastasios Gounaris. 102-106 [doi]
• Beyond the Dimensions: A Structured Evaluation of Multivariate Time Series Distance MeasuresJens E. d'Hondt, Odysseas Papapetrou, John Paparrizos. 107-112 [doi]
• Time Series Problems in the Energy SectorChristos Dalamagkas, Angelos Georgakis, Ioannis Papadopoulos, Kostas Hrissagis-Chrysagis, George Papadakis 0001. 113-118 [doi]
• MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMsGeorgios Chatzigeorgakidis, Konstantinos Lentzos, Dimitrios Skoutas 0001. 119-127 [doi]
• Data Augmentation for Multivariate Time Series Classification: An Experimental StudyRomain Ilbert, Thai V. Hoang, Zonghua Zhang. 128-139 [doi]
• Challenges in Modeling Drug Shortage Events in the Pharmaceutical DomainLaura-Maria Tolossi-Halacheva, Radoslav Andreev, Oleg Shcherbakov, Eran Nevo. 140-143 [doi]
• Extended Framework and Evaluation for Multivariate Streaming Anomaly Detection with Machine LearningAndreas Koch, Michael Petry, Martin Werner 0001. 144-152 [doi]
• Towards Ptolemaic metric properties of the z-normalized Euclidean distance for multivariate time series indexingMax Pernklau, Christian Beecks. 153-157 [doi]
• Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) ForecastingMandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs. 158-166 [doi]
• Linear-trend normalization for multivariate subsequence similarity searchThibaut Germain, Charles Truong, Laurent Oudre. 167-175 [doi]
• Closed-Loop View of the Regulation of AI: Equal Impact across Repeated InteractionsQuan Zhou, Ramen Ghosh, Robert Shorten, Jakub Marecek. 176-181 [doi]
• Examining and Explaining Individual Fairness in Dynamic PricingWei Guo, Yan Lyu, Xueyong Xu, Weiwei Wu 0001. 182-190 [doi]
• Inspecting and Measuring Fairness of unlabeled Image DatasetsRebekka Görge, Michael Mock, Maram Akila. 191-200 [doi]
• Fairness in Ranking: Robustness through Randomization without the Protected AttributeAndrii Kliachkin, Eleni Psaroudaki, Jakub Marecek, Dimitris Fotakis 0001. 201-208 [doi]
• Pricefair: On fair scheduling of heterogeneous resourcesAristotelis Peri, Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos. 209-216 [doi]
• Fairness in AI: challenges in bridging the gap between algorithms and lawGiorgos Giannopoulos, Maria Psalla, Loukas Kavouras, Dimitris Sacharidis, Jakub Marecek, German M. Matilla, Ioannis Z. Emiris. 217-225 [doi]
• On Explaining Unfairness: An OverviewChristos Fragkathoulas, Vasiliki Papanikou, Danae Pla Karidi, Evaggelia Pitoura. 226-236 [doi]
• Optimal Transport for Fairness: Archival Data Repair using Small Research Data SetsAbigail Langbridge, Anthony Quinn, Robert Shorten. 237-245 [doi]
• Exploring Fairness Interpretability with FairnessFriend: A Chatbot SolutionChiara Criscuolo, Tommaso Dolci. 246-253 [doi]
• A Framework for Feasible Counterfactual Exploration incorporating Causality, Sparsity and DensityKleopatra Markou, Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos. 254-261 [doi]
• Towards an End-to-End Data Quality OptimizerValerie Restat, Meike Klettke, Uta Störl. 262-266 [doi]
• Data Science Tasks Implemented with Scripts versus GUI-Based Workflows: The Good, the Bad, and the UglyAlexander K. Taylor, Yicong Huang, Junheng Hao, Xinyuan Lin, Xiusi Chen, Wei Wang, Chen Li. 267-277 [doi]
• CASA: Classification-based Adjusted Slot Admission Control for Query Processing EnginesTim Zeyl, Harshwin Venugopal, Calvin Sun, Paul Larson 0001. 278-284 [doi]
• Design and Development of a Provenance Capture Platform for Data ScienceLuca Gregori, Paolo Missier, Matthew Stidolph, Riccardo Torlone, Alessandro Wood. 285-290 [doi]
• Collaboration Management for Federated LearningMarius Schlegel, Daniel Scheliga, Kai-Uwe Sattler, Marco Seeland, Patrick Mäder. 291-300 [doi]
• Directions Towards Efficient and Automated Data Wrangling with Large Language ModelsZeyu Zhang, Paul Groth, Iacer Calixto, Sebastian Schelter. 301-304 [doi]
• Relationalizing Tables with Large Language Models: The Promise and ChallengesZezhou Huang, Eugene Wu 0002. 305-309 [doi]
• ChimeraTL: Transfer Learning in DBMS with Fewer SamplesTatsuhiro Nakamori, Shohei Matsuura, Takashi Miyazaki, Sho Nakazono, Taiki Sato, Takashi Hoshino 0002, Hideyuki Kawashima. 310-316 [doi]
• Will Sharing Metadata Leak Privacy?Danning Zhan, Rihan Hai 0001. 317-323 [doi]
• ReClean: Reinforcement Learning for Automated Data Cleaning in ML PipelinesMohamed Abdelaal 0001, Anil Bora Yayak, Kai Klede, Harald Schöning. 324-330 [doi]
• OPTWIN: Drift Identification with Optimal Sub-WindowsMauro Dalle Lucca Tosi, Martin Theobald. 331-337 [doi]
• Evaluating Ambiguous Questions in Semantic ParsingSimone Papicchio, Paolo Papotti, Luca Cagliero. 338-342 [doi]
• An Empirical Evaluation of Variable-length Record B+Trees on a Modern Graph Database SystemGeorgios Theodorakis, James Clarkson, Jim Webber. 343-349 [doi]
• Integrating Complex Pangenome GraphsJérôme Arnoux, Angela Bonifati, Alexandra Calteau, Stefania Dumbrava, Guillaume Gautreau. 350-354 [doi]
• Towards View Management in Graph DatabasesMohanna Shahrad, Yu Ting Gu, Yunjia Zheng, Bettina Kemme. 355-359 [doi]
• The Future of Graph-based Spatial Pattern Matching (Vision Paper)Nicole R. Schneider, Kent O'Sullivan, Hanan Samet. 360-364 [doi]
• Finding the PG schema of any (semi)structured dataset: a tale of graphs and abstractionNelly Barret, Tudor Enache, Ioana Manolescu, Madhulika Mohanty. 365-369 [doi]
• Graph lenses over any data: the ConnectionLens experienceOana Balalau, Nelly Barret, Simon Ebel, Théo Galizzi, Ioana Manolescu, Madhulika Mohanty. 370-374 [doi]
• Towards User-Centric Graph RepairsAmedeo Pachera, Angela Bonifati, Andrea Mauri 0001. 375-376 [doi]
• Compact Path Representations for Graph Database Pattern MatchingWim Martens, Matthias Niewerth, Tina Popp, Carlos Rojas, Stijn Vansummeren, Domagoj Vrgoc. 379-380 [doi]
• OBDF: OBDA + Data Federation - Extended AbstractZhenzhen Gu, Diego Calvanese, Marco Di Panfilo, Davide Lanti, Alessandro Mosca 0001, Guohui Xiao 0001. 381-383 [doi]
• Give a JIT on GPUs: NVRTC for Code-Generating Database SystemsAnton Sachnov, Leonard von Merzljak, Maximilian E. Schüle. 384-387 [doi]
• HUNIPU: Efficient Hungarian Algorithm on IPUsCheng Huang, Alexander Mathiasen, Josef Dean, Davide Mottin, Ira Assent. 388-394 [doi]
• A Three-Tier Buffer Manager Integrating CXL Device Memory for Database SystemsNiklas Riekenbrauck, Marcel Weisgut, Daniel Lindner, Tilmann Rabl. 395-401 [doi]
• CPU and GPU Hash Joins on Skewed DataYuzhou Cai, Shimin Chen. 402-408 [doi]