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23rd EDBT / 23rd ICDT 2020: Online event [Copenhagen, Denmark] - Workshops
- Alexandra Poulovassilis, David Auber, Nikos Bikakis, Panos K. Chrysanthis
, George Papastefanatos, Mohamed A. Sharaf, Nikos Pelekis, Chiara Renso, Yannis Theodoridis, Karine Zeitouni, Tania Cerquitelli, Silvia Chiusano, Genoveva Vargas-Solar, Behrooz Omidvar-Tehrani, Katharina Morik, Jean-Michel Renders, Donatella Firmani, Letizia Tanca, Davide Mottin
Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, Copenhagen, Denmark, March 30, 2020. CEUR Workshop Proceedings 2578, CEUR-WS.org 2020 - Alexandra Poulovassilis:
Preface.
BigVis 2020: Big Data Visual Exploration and Analytics
- Gennady L. Andrienko, Natalia V. Andrienko, Steven Mark Drucker, Jean-Daniel Fekete, Danyel Fisher, Stratos Idreos, Tim Kraska, Guoliang Li, Kwan-Liu Ma, Jock D. Mackinlay, Antti Oulasvirta, Tobias Schreck, Heidrun Schumann, Michael Stonebraker, David Auber, Nikos Bikakis, Panos K. Chrysanthis
Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications. - Josef Suschnigg, Belgin Mutlu, Anna Katharina Fuchs, Vedran Sabol, Stefan Thalmann, Tobias Schreck:
Exploration of Anomalies in Cyclic Multivariate Industrial Time Series Data for Condition Monitoring. - Ke Li, Hubert Naacke, Bernd Amann:
Exploring the Evolution of Science with Pivot Topic Graphs. - Bernardo Breve, Loredana Caruccio, Stefano Cirillo, Vincenzo Deufemia, Giuseppe Polese:
Visualizing Dependencies during Incremental Discovery Processes. - Pelayo Quirós, Blanca Rosario Campomanes Álvarez:
The new Spanish political scenario: Twitter graph and opinion analysis with an interactive visualisation. - James Abello, Daniel Nakhimovich:
Graph Waves. - Wenqiang Cui, Girts Strazdins, Hao Wang:
Web-based Scalable Visual Exploration of Large Multidimensional Data Using Human-in-the-Loop Edge Bundling in Parallel Coordinates. - Federico Desimoni, Laura Po:
Providing Effective Visualizations over Big Linked Data. - Pablo Camarillo-Ramírez, Francisco Cervantes-Alvarez, Luis Fernando Gutiérrez-Preciado:
A task-based evaluation methodology for visual representation of dynamic networks. - Rodrigo Borges, Kostas Stefanidis:
On Measuring Popularity Bias in Collaborative Filtering Data. - Xiaozhong Zhang, Xiaoyu Ge, Panos K. Chrysanthis
A GUI Design for Composition Discovery of View Interestingness.
BMDA 2020: Big Mobility Data Analytics
- Hanna Kavalionak, Massimo Tosato, Paolo Barsocchi, Franco Maria Nardini:
Dynamic Wi-Fi RSSI normalization in unmapped locations. - Riccardo Guidotti, Mirco Nanni, Francesca Sbolgi:
Data-Driven Location Annotation for Fleet Mobility Modeling. - Agnese Bonavita, Riccardo Guidotti, Mirco Nanni:
Self-Adapting Trajectory Segmentation. - Rodrigo de Oliveira E. Silva, Ge Cui, Seyyed Mohammadreza Rahimi, Xin Wang:
BR2: A Travel Behavioral Approach to Personalized Route Recommendation Based on GPS Trajectories. - Emanuele Carlini, Vinicius Monteiro de Lira, Amílcar Soares Júnior
Uncovering vessel movement patterns from AIS data with graph evolution analysis. - Marta Galvani, Agostino Torti, Alessandra Menafoglio, Simone Vantini:
A novel spatio-temporal clustering technique to study the bike sharing system in Lyon. - Behrooz Omidvar-Tehrani, Plácido A. Souza Neto, Francisco B. Silva Júnior, Felipe M. Freire Pontes:
Exploration of Interesting Dense Regions on Spatial Data. - Arnau Dillen, Giovanni Buroni, Yann-Aël Le Borgne, Karl Determe, Gianluca Bontempi:
MOBI-AID: A Big Data Platform for Real-Time Analysis of On Board Unit Data. - Omid Isfahani Alamdari
Towards In-Memory Sub-Trajectory Similarity Search.
DARLI-AP 2020: Data Analytics Solutions for Real-Life Applications
- Flavio Giobergia, Luca Cagliero, Paolo Garza, Elena Baralis:
Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment. - Nikolaos Lagos, Ioan Calapodescu:
Culture-aware Point-of-Interest Category Completion in a Global Location-Based Social Network Database without Access to User Data. - Abeer Khan, Lukasz Golab:
Reddit Mining to Understand Gendered Movements. - Alexander Westermann, Philipp Krayer, Andreas Weiler:
AdsISee: Advertisement Detection and Tracking for Sponsorship Evaluation in Soccer Matches. - Daniele Apiletti, Eliana Pastor
Evaluating espresso coffee quality by means of time-series feature engineering. - Ermelinda Oro, Massimo Ruffolo, Fausto Pupo:
A Cognitive Automation Approach for a Smart Lending and Early Warning Application. - Francesca Soro, Marco Mellia, Nicolo Russo:
Regular Pattern and Anomaly Detection on Corporate Transaction Time Series. - Davide Ferrari, Giovanni Guaraldi, Federica Mandreoli, Riccardo Martoglia, Jovana Milic, Paolo Missier:
Data-driven vs knowledge-driven inference of health outcomes in the ageing population: a case study. - Sachit Mishra, Luca Vassio, Luca Cagliero, Marco Mellia, Elena Baralis, Riccardo Loti, Lucia Salvatori:
Machine Learning Supported Next-Maintenance Prediction for Industrial Vehicles. - Allison Jacobs, Shivangi Chopra, Lukasz Golab:
Reddit Mining to Understand Women's Issues in STEM. - Sheng Zhang, Haoyang Che, Jiacai Zhang, Yucong Duan:
Exploring the Auto Model Competition Patterns in China's Auto Market based on Complex Networks Theory. - Shuhei Yoshimi, Koji Eguchi:
Forecasting Corporate Financial Time Series using Multi-phase Attention Recurrent Neural Networks. - Piotr Matyjaszczyk, Przemyslaw Rosowski, Robert Wrembel:
GooDBye: a Good Graph Database Benchmark - an Industry Experience. - Sara Migliorini, Alberto Belussi:
A Balanced Solution for the Partition-based Spatial Merge Join in MapReduce. - Nadine Steinmetz, Samar Shahabi Ghahfarokhi, Kai-Uwe Sattler:
Question Answering on OLAP-like Data Sources.
ETLMP 2020: Explainability for Trustworthy ML Pipelines
- Lukas Pfahler, Jan Richter:
Interpretable Nearest Neighbor Queries for Tree-Structured Data in Vector Databases of Graph-Neural Network Embeddings. - Willeme Verdeaux, Clément Moreau, Nicolas Labroche, Patrick Marcel:
Causality based explanations in multi-stakeholder recommendations. - Christian Werner:
Explainable AI through Rule-based Interactive Conversation. - Sergey Redyuk, Volker Markl, Sebastian Schelter:
Towards Unsupervised Data Quality Validation on Dynamic Data. - Iordanis Xanthopoulos, Ioannis Tsamardinos, Vassilis Christophides, Eric Simon, Alejandro Salinger:
Putting the Human Back in the AutoML Loop.
PIE 2020: Processing Information Ethically
- Oded Shmueli:
Exploiting Latent Information in Databases via Database Embedding: technology, applications, ethics. - Jarek Gryz, Nima Shahbazi:
Futility of a Right to Explanation. - Andrea Rossi, Antonio Matinata:
Knowledge Graph Embeddings: Are Relation-Learning Models Learning Relations? - Federico Croce, Gianluca Cima, Maurizio Lenzerini, Tiziana Catarci:
Ontology-based explanation of classifiers. - Chiara Accinelli, Simone Minisi, Barbara Catania:
Coverage-based Rewriting for Data Preparation. - Sara Migliorini, Alberto Belussi, Elisa Quintarelli:
Promoting Data Provenance Tracking in the Archaeological Interpretation Process.
SEA Data 2020: Search, Exploration, and Analysis in Heterogeneous Datastores
- Julius Gonsior, Josephine Rehak, Maik Thiele, Elvis Koci, Michael Günther, Wolfgang Lehner:
Active Learning for Spreadsheet Cell Classification. - Raffael Affolter, Andreas Weiler:
FacetX: Dynamic Facet Generation for Advanced Information Filtering of Search Results. - Irène Burger, Ioana Manolescu, Emmanuel Pietriga, Fabian M. Suchanek:
Toward Visual Interactive Exploration of Heterogeneous Graphs. - Damianos Chatziantoniou, Verena Kantere:
Data Virtual Machines: Data-Driven Conceptual Modeling of Big Data Infrastructures. - Christos Koutras, Marios Fragkoulis, Asterios Katsifodimos, Christoph Lofi:
REMA: Graph Embeddings-based Relational Schema Matching. - Philipp D. Rohde, Maria-Esther Vidal:
Optimizing Federated Queries Based on the Physical Design of a Data Lake.
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