EDBT2020 Short Paper : List of Accepted Papers


Id Authors Title
200 Heidy Hazem, Ahmed Awad, Ahmed Hassan and Sherif Sakr DISGD: A Distributed Shared-nothing Matrix Factorization for Large Scale Online Recommender Systems
202 Ioannis Kouvatis, Konstantinos Semertzidis, Maria Zerva, Evaggelia Pitoura and Panayiotis Tsaparas Forming Compatible Teams in Signed Networks
215 Jianzhong Qi, Wei Wang, Rui Zhang and Zhuowei Zhao A Learning Based Approach to Predict Shortest-Path Distances
224 Donghun Lee, Andrew Chang, Minseon Ahn, Jongmin Gim, Jungmin Kim, Jaemin Jung, Kangwoo Choi, Vincent Pham, Oliver Rebholz, Krishna Malladi and Yang-Seok Ki Optimizing Data Movement with Near-Memory Acceleration of In-memory DBMS
230 James Wagner, Alexander Rasin, Dai Hai Ton That, Tanu Malik and Jonathan Grier Programmable Access to Relational Database Storage
231 Phillipp Müller, Xiao Qin, Balaji Ganesan, Nasrullah Sheikh and Berthold Reinwald An Integrated Graph Neural Network for Supervised Non-obvious Relationship Detection in Knowledge Graphs
236 Clément Lejeune, Josiane Mothe and Olivier Teste Outlier detection in multivariate functional data based on a geometric aggregation
238 Luis Galárraga, Julien Delaunay and Jean-Louis Dessalles REMI: Mining Intuitive Referring Expressions on Knowledge Bases
243 Christoph Anneser, Andreas Kipf, Harald Lang, Thomas Neumann and Alfons Kemper The Case for Hybrid Succinct Data Structures
244 Sebastian Schelter, Yuxuan He, Jatin Khilnani and Julia Stoyanovich FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions
247 Nico Schäfer and Sebastian Michel Partially Materializable Delta Trees for Efficient Data Wrangling of Semi-Structured Contents
248 Yael Amsterdamer and Osnat Drien Towards Fine-Grained Data Access Control Through Active Peer Probing
277 Angjela Davitkova, Evica Milchevski and Sebastian Michel The ML-Index: A Multidimensional, Learned Index for Point, Range, and Nearest-Neighbor Queries
284 Michael Günther, Maik Thiele and Wolfgang Lehner Retro: Relation Retrofitting For In-Database Machine Learning on Textual Data
289 Fatemeh Zardbani, Peyman Afshani and Panagiotis Karras Revisiting the Theory and Practice of Database Cracking
296 Leonardo Gazzarri and Melanie Herschel Boosting Blocking Performance in Entity Resolution Pipelines: Comparison Cleaning using Bloom Filters
300 Lawrence Benson, Philipp M. Grulich, Steffen Zeuch, Volker Markl and Tilmann Rabl Disco: Efficient Distributed Window Aggregation
307 Daniel Deutch, Nave Frost, Amir Gilad and Tomer Haimovich Explaining Missing Query Results in Natural Language
324 Sara Migliorini, Alberto Belussi, Elisa Quintarelli and Damiano Carra A Context-based Approach for Partitioning Big Data
337 Georgios Theodorakis, Peter Pietzuch and Holger Pirk SlideSide: A fast Incremental Stream Processing Algorithm for Multiple Queries
342 Yudi Santoso, Venkatesh Srinivasan and Alex Thomo Efficient Enumeration of Four Node Graphlets at Trillion-Scale
354 Panagiotis Bouros, Konstantinos Lampropoulos, Dimitrios Tsitsigkos, Nikos Mamoulis and Manolis Terrovitis Band Joins for Interval Data
357 Denis Gallo, Matteo Lissandrini and Yannis Velegrakis Personalized Page Rank on Knowledge Graphs: Particle Filtering is all you need!
358 Thomas Mulder, Nikolay Yakovets and George Fletcher Towards Planning of Regular Queries with Memory
359 Shanhe Liao and Weixiong Rao Accurate Demand Forecasting for Retails with Deep Neural Networks
362 Rui Liu and Dominique Li Efficient Skyline Computation in High-Dimensionality Domains