EDBT-ICDT-WS 2020

EDBT/ICDT 2020 Workshops

Table of Contents

• Preface
  

BigVis 2020: Big Data Visual Exploration and Analytics

• Big Data Visualization and Analytics: Research Challenges and Emerging Applications
  Gennady Andrienko, Natalia Andrienko, Steven Drucker, Jean-Daniel Fekete, Danyel Fisher, Stratos Idreos, Tim Kraska, Guoliang Li, Kwan-Liu Ma, Jock D. Mackinlay, Antti Oulasvirta, Tobias Schreck, Heidrun Schmann, Michael Stonebraker, David Auber, Nikos Bikakis, Panos K. Chrysanthis, George Papastefanatos, Mohamed Sharaf
• Exploration of Anomalies in Cyclic Multivariate Industrial Time Series Data for Condition Monitoring
  Josef Suschnigg, Belgin Mutlu, Anna Katharina Fuchs, Vedran Sabol, Stefan Thalmann, Tobias Schreck
• Exploring the Evolution of Science with Pivot Topic Graphs
  Ke Li, Hubert Naacke, Bernd Amann
• Visualizing Dependencies during Incremental Discovery Processes
  Bernardo Breve, Loredana Caruccio, Stefano Cirillo, Vincenzo Deufemia, Giuseppe Polese
• The new Spanish political scenario: Twitter graph and opinion analysis with an interactive visualisation
  Pelayo Quirós Blanca, Rosario Campomanes-Álvarez
• Graph Waves (Short Paper)
  James Abello, Daniel Nakhimovich
• Web-based Scalable Visual Exploration of Large Multidimensional Data Using Human-in-the-Loop Edge Bundling in Parallel Coordinates (Short Paper)
  Wenqiang Cui, Girts Strazdins, Hao Wang
• Providing Effective Visualizations over Big Linked Data (Short Paper)
  Federico Desimoni, Laura Po
• A task-based evaluation methodology for visual representation of dynamic networks (Short Paper)
  Pablo Camarillo-Ramirez, Francisco Cervantes-Alvarez, Luis Fernando Gutiérrez-Preciado
• On Measuring Popularity Bias in Collaborative Filtering Data (Short Paper)
  Rodrigo Borges, Kostas Stefanidis
• A GUI Design for Composition Discovery of View Interestingness (Short Paper)
  Xiaozhong Zhang, Xiaoyu Ge, Panos Chrysanthis

BMDA 2020: Big Mobility Data Analytics

• Dynamic Wi-Fi RSSI normalization in unmapped locations
  Hanna Kavalionak, Massimo Tosato, Paolo Barsocchi, Franco Maria Nardini
• Data-Driven Location Annotation for Fleet Mobility Modeling
  Riccardo Guidotti, Mirco Nanni, Francesca Sbolgi
• Self-Adapting Trajectory Segmentation
  Agnese Bonavita, Riccardo Guidotti, Mirco Nanni
• BR²: A Travel Behavioral Approach to Personalized Route Recommendation Based on GPS Trajectories
  Rodrigo de Oliveira E Silva, Ge Cui, Seyyed Mohammadreza Rahimi, Xin Wang
• Uncovering vessel movement patterns from AIS data with graph evolution analysis
  Emanuele Carlini, Vinicius Monteiro de Lira, Amilcar Soares, Mohammad Etemad, Bruno Brandoli Machado, Stan Matwin
• A novel spatio-temporal clustering technique to study the bike sharing system in Lyon
  Marta Galvani, Agostino Torti, Alessandra Menafoglio, Simone Vantini
• Exploration of Interesting Dense Regions on Spatial Data
  Behrooz Omidvar-Tehrani, Plácido A. Souza Neto, Francisco B. Silva Júnior, Felipe F. Pontes
• MOBI-AID: A Big Data Platform for Real-Time Analysis of On Board Unit Data
  Arnau Dillen, Giovanni Buroni, Yann-Aël Le Borgne, Karl Determe, Gianluca Bontempi
• Towards In-Memory Sub-Trajectory Similarity Search
  Omid Isfahani Alamdari, Mirco Nanni, Roberto Trasarti, Dino Pedreschi

DARLI-AP 2020: Data Analytics Solutions for Real-Life Applications

• Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment
  Flavio Giobergia, Luca Cagliero, Paolo Garza, Elena Baralis
• Culture-aware Point-of-Interest Category Completion in a Global Location-Based Social Network Database without Access to User Data
  Nikolaos Lagos, Ioan Calapodescu
• Reddit Mining to Understand Gendered Movements
  Abeer Khan, Lukasz Golab
• AdsISee: Advertisement Detection and Tracking for Sponsorship Evaluation in Soccer Matches
  Alexander Westermann, Philipp Krayer, Andreas Weiler
• Evaluating espresso coffee quality by means of time-series feature engineering
  Daniele Apiletti, Eliana Pastor, Riccardo Callà, Elena Baralis
• A Cognitive Automation Approach for a Smart Lending and Early Warning Application
  Ermelinda Oro, Massimo Ruffolo, Fausto Pupo
• Regular Pattern and Anomaly Detection on Corporate Transaction Time Series
  Francesca Soro, Marco Mellia, Nicolo Russo
• Data-driven vs knowledge-driven inference of health outcomes in the ageing population: a case study
  Davide Ferrari, Giovanni Guaraldi, Federica Mandreoli, Riccardo Martoglia, Jovana Milic, Paolo Missier
• Machine Learning Supported Next-Maintenance Prediction for Industrial Vehicles
  Sachit Mishra, Luca Vassio, Luca Cagliero, Marco Mellia, Elena Baralis, Riccardo Loti, Lucia Salvatori
• Reddit Mining to Understand Women's Issues in STEM
  Allison Jacobs, Shivangi Chopra, Lukasz Golab
• Exploring the Auto Model Competition Patterns in China's Auto Market based on Complex Networks Theory
  Sheng Zhang, Haoyang Che, Jiacai Zhang, Yucong Duan
• Forecasting Corporate Financial Time Series using Multi-phase Attention Recurrent Neural Networks
  Shuhei Yoshimi, Koji Eguchi
• GooDBye: a Good Graph Database Benchmark - an Industry Experience
  Piotr Matyjaszczyk, Przemyslaw Rosowski, Robert Wrembel
• A Balanced Solution for the Partition-based Spatial Merge Join in MapReduce
  Sara Migliorini, Alberto Belussi
• Question Answering on OLAP-like Data Sources
  Nadine Steinmetz, Samar Shahabi Ghahfarokhi, Kai-Uwe Sattler

ETLMP 2020: Explainability for Trustworthy ML Pipelines

• Interpretable Nearest Neighbor Queries for Tree-Structured Data in Vector Databases of Graph-Neural Network Embeddings
  Lukas Pfahler, Jan Richter
• Causality based explanations in multi-stakeholder recommendations
  Willeme Verdeaux, Clément Moreau, Nicolas Labroche, Patrick Marcel
• Explainable AI through Rule-based Interactive Conversation (Short Paper)
  Christian Werner
• Towards Unsupervised Data Quality Validation on Dynamic Data (Short Paper)
  Sergey Redyuk, Volker Markl, Sebastian Schelter
• Putting the Human Back in the AutoML Loop
  Iordanis Xanthopoulos, Ioannis Tsamardinos, Vassilis Christophides, Eric Simon, Alejandro Salinger

PIE 2020: Processing Information Ethically

• Exploiting Latent Information in Databases via Database Embedding: technology, applications, ethics (Invited Paper)
  Oded Shmueli
• Futility of a Right to Explanation
  Jarek Gryz, Nima Shahbazi
• Knowledge Graph Embeddings: Are Relation-Learning Models Learning Relations?
  Andrea Rossi, Antonio Matinata
• Ontology-based explanation of classifiers
  Federico Croce, Gianluca Cima, Maurizio Lenzerini, Tiziana Catarci
• Coverage-based Rewriting for Data Preparation
  Chiara Accinelli, Simone Minisi, Barbara Catania
• Promoting Data Provenance Tracking in the Archaeological Interpretation Process
  Sara Migliorini, Alberto Belussi, Elisa Quintarelli

SEA Data 2020: Search, Exploration, and Analysis in Heterogeneous Datastores

• Active Learning for Spreadsheet Cell Classification
  Julius Gonsior, Josephine Rehak, Maik Thiele, Elvis Koci, Michael Günther, Wolfgang Lehner
• FacetX: Dynamic Facet Generation for Advanced Information Filtering of Search Results
  Raffael Affolter, Andreas Weiler
• Toward Visual Interactive Exploration of Heterogeneous Graphs
  Irène Burger, Ioana Manolescu, Emmanuel Pietriga, Fabian Suchanek
• Data Virtual Machines: Data-Driven Conceptual Modeling of Big Data Infrastructures
  Damianos Chatziantoniou, Verena Kantere
• REMA: Graph Embeddings-based Relational Schema Matching
  Christos Koutras, Marios Fragkoulis, Asterios Katsifodimos, Christoph Lofi
• Optimizing Federated Queries Based on the Physical Design of a Data Lake
  Philipp D. Rohde, Maria-Esther Vidal