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ORCID38th ICDE 2022: Kuala Lumpur, Malaysia - Workshops
- 38th IEEE International Conference on Data Engineering Workshops, ICDE Workshops 2022, Kuala Lumpur, Malaysia, May 9, 2022. IEEE 2022, ISBN 978-1-6654-8104-5
- Nikolay Pavlovich Laptev, Wenbo Tao, Caner Komurlu, Jason Xu, Deke Sun, Thomas C. H. Lux, Luo Mi:
Smarter Warehouse. 1-8 - George-Octavian Barbulescu, Peter Triantafillou:
Anatomy of Learned Database Tuning with Bayesian Optimization. 9-15 - Muhammad Attahir Jibril, Alexander Baumstark, Kai-Uwe Sattler:
Adaptive Update Handling for Graph HTAP. 16-23 - Lambros Odysseos, Herodotos Herodotou:
Exploring System and Machine Learning Performance Interactions when Tuning Distributed Data Stream Applications. 24-29 - Theodoros Toliopoulos
, Anna-Valentini Michailidou, Anastasios Gounaris:
Data placement in dynamic fog ecosystems. 30-37 - Masahiro Matsui, Takuto Sugisaki, Kensaku Okada, Noboru Koshizuka:
AlphaSQL: Open Source Software Tool for Automatic Dependency Resolution, Parallelization and Validation for SQL and Data. 38-45 - Anja Keskinarkaus, Ekaterina Gilman, Lauri Lovén, Satu Tamminen, Marjo Hippi, Gang Xiong, Fenghua Zhu, Tapio Seppänen, Jukka Riekki, Susanna Pirttikangas:
Revealing reliable information from taxi traces: from raw data to information discovery. 46-53 - Dylan Koh, Gui-Shan Tan, Eldrick Xie, Li Hwa Tiong, Mark Khoo, Chern Nam Yap:
Secured Data Management and Infrastructures in Smart Aquaculture. 54-59 - Xiaoli Liu, Satu Tamminen, Sasu Tarkoma, Xiang Su:
Trustworthy Distributed Intelligence for Smart Cities. 60-65 - Max Lübbering, Maren Pielka, Ilhamcengiz Henk, Rafet Sifa:
Datastack: Unification of Heterogeneous Machine Learning Dataset Interfaces. 66-69 - Georg Stefan Schlake, Jan David Hüwel, Fabian Berns, Christian Beecks:
Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification. 70-73 - Till Döhmen, Madelon Hulsebos, Christian Beecks, Sebastian Schelter:
GitSchemas: A Dataset for Automating Relational Data Preparation Tasks. 74-78 - Alexander Graß, Till Döhmen, Christian Beecks:
Sample-based Kernel Structure Learning with Deep Neural Networks for Automated Structure Discovery. 79-83 - Andra Ionescu, Rihan Hai, Marios Fragkoulis, Asterios Katsifodimos:
Join Path-Based Data Augmentation for Decision Trees. 84-88 - Hiroshi Uehara, Daichi Mochihashi:
Detecting Sensory Textures with Rheological Characteristics from Recipe Sharing Sites. 89-94 - Pulkit Piplani, Pritish Gulati, Shayna Malik, Shashwat Goyal, Meenal Gurbaxani, Ganesh Bagler:
FoodPrint: Computing Carbon Footprint of Recipes. 95-100 - Deepanshu Pandey, Purva Parmar, Gauri Toshniwal, Mansi Goel, Vishesh Agrawal, Shivangi Dhiman, Lavanya Gupta, Ganesh Bagler:
Object Detection in Indian Food Platters using Transfer Learning with YOLOv4. 101-106 - Mansi Goel, Pallab Chakraborty, Vijay Ponnaganti, Minnet Khan, Sritanaya Tatipamala, Aakanksha Saini, Ganesh Bagler:
Ratatouille: A tool for Novel Recipe Generation. 107-110 - Lucas Woltmann, Jonathan Drechsel, Claudio Hartmann, Wolfgang Lehner:
Ingredient-based Forecast of Sold Dish Portions in Campus Canteen Kitchens. 111-116 - Xun Zhong, Yong Zhang, Yu Chen, Chao Li, Chunxiao Xing:
Learned Index on GPU. 117-122 - Juliana Hildebrandt, Dirk Habich, Wolfgang Lehner:
BOUNCE: Memory-Efficient SIMD Approach for Lightweight Integer Compression. 123-128 - Wenyan Lu, Yan Chen, Jingya Wu, Yu Zhang, Xiaowei Li, Guihai Yan:
DOE: Database Offloading Engine for Accelerating SQL Processing. 129-134
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