Workshops : List of Accepted Papers


DOLAP
Authors Title
Clement Moreau, Veronika Peralta, Patrick Marcel and Thomas Devogele. Learning Analysis Patterns using a Contextual Edit Distance.
Qingzhi Ma and Peter Triantafillou. Query-Centric Regression for In-DBMS Analytics.
Nabil El Malki, Franck Ravat and Olivier Teste. K-means: k estimation solution based on kd-tree in a massive data context.
Michal Bodziony, Szymon Roszyk and Robert Wrembel. On Evaluating Performance of Balanced Optimization of ETL Processes for Streaming Data Sources.
Viacheslav Galaktionov, Evgeniy Klyuchikov and George Chernishev. Caching Intermediates in a Column-Store with Late Materialization: An Initial Study.
Matteo Francia, Enrico Gallinucci and Matteo Golfarelli. Towards Conversational OLAP.
Sandro Bimonte, Yassine Hifdi, Mohammed Maliari, Stefano Rizzi and Patrick Marcel. To Each His Own: Accommodating Data Variety by a Multimodel Star Schema.
Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel, Veronika Peralta, Stefano Rizzi and Panos Vassiliadis. The Traveling Analyst Problem: Definition and preliminary study.
Marcio Santos, Silvia Fernandes, Daniel Goncalves, Marco Vala and Helena Galhardas. Incorporating Data Profiling into Pentaho Data Integration.
Marios Meimaris, George Papastefanatos and Panos Vassiliadis. Hierarchical Property Set Merging for SPARQL Query Optimization.
Ishaq Zouaghi, Amin Mesmoudi, Jorge Galicia, Ladjel Bellatreche and Taoufik Aguili. Query Optimization for Large Scale Clustered RDF Data.
Mohamed Ragab. Large Scale Querying and Processing for Property Graphs.
Ana Lavalle, Alejandro Mate and Juan Trujillo. An Approach to Automatically Detect and Visualize Bias in Big Data Analytics.
ETMLP
Authors Title
Lukas Pfahler and Jan Richter (TU Dortmund University, Germany). Interpretable Nearest Neighbor Queries for Tree-Structured Data in Vector Databases of Graph-Neural Network Embeddings.
Willeme Verdeaux, Clément Moreau, Nicolas Labroche and Patrick Marcel (University of Tours, France). Causality based explanations in multi-stakeholder recommendations.
Christian Werner (Viadee). Explainable AI through Rule-based Interactive Conversation.
Sergey Redyuk, Volker Markl and Sebastian Schelter (Technische Universität Berlin, Germany). Towards Unsupervised Data Quality Validation on Dynamic Data.
Iordanis Xanthopoulos (University of Crete), Ioannis Tsamardinos (University of Crete), Vassilis Christophides (University of Crete), Eric Simon (SAP France) and Alejandro Salinger (SAP SE). Putting the Human Back in the AutoML Loop
PIE
Authors Title
Jarek Gryz and Nima Shahbazi. Futility of a Right to Explanation
Andrea Rossi and Antonio Matinata. Knowledge Graph Embeddings: Are Relation-Learning Models Learning Relations?
Federico Croce, Gianluca Cima, Maurizio Lenzerini and Tiziana Catarci. Ontology-based explanation of classifiers
Chiara Accinelli, Barbara Catania and Simone Minisi. Coverage-based Rewriting for Data Preparation
Sara Migliorini, Alberto Belussi and Elisa Quintarelli. Promoting Data Provenance Tracking in the Archaeological Interpretation Process
BDMA
Authors Title
Marta Galvani, Agostino Torti, Alessandra Menafoglio and Simone Vantini A novel spatio-temporal clustering technique to study the bike sharing system in Lyon
Omid Isfahani Alamdari, Mirco Nanni, Roberto Trasarti and Dino Pedreschi Towards In-Memory Sub-Trajectory Similarity Search
Agnese Bonavita, Riccardo Guidotti and Mirco Nanni Self-Adapting Trajectory Segmentation
Rodrigo de Oliveira E Silva, Ge Cui, Seyyed Mohammadreza Rahimi and Xin Wang BR²: A Travel Behavioral Approach to Personalized Route Recommendation Based on GPS Trajectories
Hanna Kavalionak, Massimo Tosato, Paolo Barsocchi and Franco Maria Nardini Dynamic Wi-Fi RSSI normalization in unmapped locations
Arnau Dillen, Giovanni Buroni, Yann-Aël Le Borgne, Karl Determe and Gianluca Bontempi MOBI-AID: A Big Data Platform for Real-Time Analysis of On Board Unit Data
Behrooz Omidvar-Tehrani, Plácido A. Souza Neto, Francisco B. Silva Júnior and Felipe F. Pontes Exploration of Interesting Dense Regions on Spatial Data
Riccardo Guidotti, Mirco Nanni and Francesca Sbolgi Data-Driven Location Annotation for Fleet Mobility Modeling
Emanuele Carlini, Vinicius Monteiro de Lira, Amilcar Soares, Mohammad Etemad, Bruno Brandoli Machado and Stan Matwin Uncovering vessel movement patterns from AIS data with graph evolution analysis
DARLI-AP
Authors Title
Flavio Giobergia, Luca Cagliero, Paolo Garza and Elena Baralis Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment
Nikolaos Lagos and Ioan Calapodescu Culture-aware Point-of-Interest Category Completion in a Global Location-Based Social Network Database without Access to User Data
Abeer Khan and Lukasz Golab Reddit Mining to Understand Gendered Movements
Alexander Westermann, Philipp Krayer and Andreas Weiler AdsISee: Advertisement Detection and Tracking for Sponsorship Evaluation in Soccer Matches
Daniele Apiletti, Eliana Pastor, Riccardo Callà and Elena Baralis Evaluating espresso coffee quality by means of time-series feature engineering
Ermelinda Oro, Massimo Ruffolo and Fausto Pupo A Cognitive Automation Approach for a Smart Lending and Early Warning Application
Francesca Soro, Marco Mellia and Nicolo Russo Regular Pattern and Anomaly Detection on Corporate Transaction Time Series
Davide Ferrari, Giovanni Guaraldi, Federica Mandreoli, Riccardo Martoglia, Jovana Milić and 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 and Lukasz Golab Reddit Mining to Understand Women's Issues in STEM
Sheng Zhang, Haoyang Che, Jiacai Zhang and Yucong Duan Exploring the Model Competition Patterns of China’s Auto Market with Massive Sales Leads
Shuhei Yoshimi and 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 and Alberto Belussi A Balanced Solution for the Partition-based Spatial Merge Join in MapReduce
Nadine Steinmetz, Samar Shahabi Ghahfarokhi and Kai-Uwe Sattler Question Answering on OLAP-like Data Sources
BigVis
Regular Papers
Authors Title
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 Big Data Visualization and Analytics: Research Challenges and Emerging Applications
Josef Suschnigg, Belgin Mutlu, Anna Katharina Fuchs, Vedran Sabol, Stefan Thalmann and Tobias Schreck Exploration of Anomalies in Cyclic Multivariate Industrial Time Series Data for Condition Monitoring
Ke Li, Hubert Naacke and Bernd Amann Exploring the Evolution of Science with Pivot Topic Graphs
Pelayo Quirós Blanca and Rosario Campomanes-Álvarez The new Spanish political scenario: Twitter graph and opinion analysis with an interactive visualisation
Bernardo Breve, Loredana Caruccio, Stefano Cirillo, Vincenzo Deufemia, Giuseppe Polese Visualizing Dependencies during Incremental Discovery Processes
Short Papers
Authors Title
Daniel Nakhimovich and James Abello Graph Waves
Federico Desimoni and Laura Po Providing Effective Visualizations over Big Linked Data
Xiaozhong Zhang, Xiaoyu Ge and Panos Chrysanthis A GUI Design for Composition Discovery of View Interestingness
Wenqiang Cui, Girts Strazdins and Hao Wang Web-based Scalable Visual Exploration of Large Multidimensional Data Using Human-in-the-Loop Edge Bundling in Parallel Coordinates
Pablo Camarillo-Ramirez, Francisco Cervantes-Alvarez and Luis Fernando Gutiérrez-Preciado A task-based evaluation methodology for visual representation of dynamic networks
Rodrigo Borges and Kostas Stefanidis On Measuring Popularity Bias in Collaborative Filtering Data
SEA Data
Authors Title
Julius Gonsior, Josephine Rehak, Maik Thiele, Elvis Koci, Michael Günther, and Wolfgang Lehner Active Learning for Spreadsheet Cell Classification
Raffael Affolter and Andreas Weiler FacetX: Dynamic Facet Generation for Advanced Information Filtering of Search Results
Irène Burger, Ioana Manolescu, Emmanuel Pietriga, and Fabian Suchanek Toward Visual Interactive Exploration of Heterogeneous Graphs
Damianos Chatziantoniou and Verena Kantere Data Virtual Machines: Data-Driven Conceptual Modeling of Big Data Infrastructures
Christos Koutras, Marios Fragkoulis, Asterios Katsifodimos, and Christoph Lofi REMA: Graph Embeddings-based Relational Schema Matching
Philipp D. Rohde and Maria-Esther Vidal Optimizing Federated Queries Based on the Physical Design of a Data Lake
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