EDBT/ICDT-WS 2019
EDBT/ICDT 2019 Workshops

Table of Contents

BigVis: Big Data Visual Exploration and Analytics

• ViewSeeker: An Interactive View Recommendation Tool
  Xiaozhong Zhang, Xiaoyu Ge, Panos Chrysanthis, Mohamed Sharaf
• Exploring Energy Performance Certificates through Visualization
  Tania Cerquitelli, Evelina Di Corso, Stefano Proto, Alfonso Capozzoli, Fabio Bellotti, Maria Giovanna Cassese, Elena Baralis, Marco Mellia, Silvia Casagrande, Martina Tamburini
• A User Centric Visual Analytics Framework for News Discussions
  Jakob Smedegaard Andersen
• Processing Satellite Imagery for Decision-Making in Precision Agriculture
  Panagiotis Bouros, Ira Assent, Jacob Jeppesen, Thomas Skjødeberg Toftegaard
• Progressive Similarity Search on Time Series Data
  Anna Gogolou, Theophanis Tsandilas, Themis Palpanas, Anastasia Bezerianos
• Speeding up RDF Aggregate Discovery through Sampling
  Ioana Manolescu, Mirjana Mazuran
• Visualizing Implicit RDF Schema with the Help of Embeddings
  Marios Meimaris
• PySnippet: Accelerating Exploratory Data Analysis in Jupyter Notebook through Facilitated Access to Example Code
  Alex Watson, Scott Bateman, Suprio Ray
• VESEL: VisuaL Exploration of Schema Evolution using Provenance Queries
  Christos Athinaiou, Haridimos Kondylakis

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

• A Cloud-to-edge Architecture for Predictive Analytics
  David Bowden, Angelo Marguglio, Lucrezia Morabito, Chiara Napione, Simone Panicucci, Nikolaos Nikolakis, Sotiris Makris, Guido Coppo, Salvatore Andolina, Alberto Macii, Enrico Macii, Niamh O'Mahony, Paul Becker, Sven Jung
• In-memory Caching for Multi-query Optimization of Data-intensive Scalable Computing Workloads
  Pietro Michiardi, Damiano Carra, Sara Migliorini
• Structural Change Point Detection Using A Large Random Matrix and Sparse Modeling
  Katsuya Ito, Akira Kinoshita, Masashi Yoshikawa
• Privacy-Preserving Data Analysis Workflows for eScience
  Khalid Belhajjame, Noura Faci, Zakaria Maamar, Vanilson Burégio, Edvan Soares, Mahmoud Barhamgi
• Dynamic Estimation for Medical Data Management in a Cloud Federation
  Trung-Dung Le, Verena Kantere, Laurent D'Orazio
• Exploring Task-agnostic, ShapeNet-based Object Recognition for Mobile Robots
  Agnese Chiatti, Gianluca Bardaro, Emanuele Bastianelli, Ilaria Tiddi, Prasenjit Mitra, Enrico Motta
• Gender Differences in Science and Engineering: A Data Mining Approach
  Shivangi Chopra, Abeer Khan, Melicaalsadat Mirsafian, Lukasz Golab
• Method for Comparing Long-term Daily Life using Long-duration Episodes
  Takahiko Shintani, Tadashi Ohmori, Hideyuki Fujita
• Time Series Similarity Search for Streaming Data in Distributed Systems
  Ariane Ziehn, Marcela Charfuelan, Holmer Hemsen, Volker Markl
• Transparently Mining Data from a Medium-voltage Distribution Network: A Prognostic-diagnostic Analysis
  Matteo Nisi, Daniela Renga, Daniele Apiletti, Danilo Giordano, Tao Huang, Yang Zhang, Marco Mellia, Elena Baralis
• Data Slice Search for Local Outlier View Detection: A Case Study in Fashion EC
  Takumi Matsumoto, Yuya Sasaki, Makoto Onizuka
• Heterogeneous Industrial Vehicle Usage Predictions: A Real Case
  Dena Markudova, Elena Baralis, Luca Cagliero, Marco Mellia, Luca Vassio, Elvio Amparore, Riccardo Loti, Lucia Salvatori
• Adaptive Hierarchical Clustering for Petrographic Image Analysis
  Andrea Pasini, Elena Baralis, Paolo Garza, Davide Floriello, Michela Idiomi, Andrea Ortenzi, Simone Ricci

BMDA: Big Mobility Data Analytics

• Integration of Mobility Data with Weather Information
  Nikolaos Koutroumanis, Georgios M. Santipantakis, Apostolos Glenis, Christos Doulkeridis, George A. Vouros
• Towards A Semantic Indoor Trajectory Model
  Alexandros Kontarinis, Karine Zeitouni, Claudia Marinica, Dan Vodislav, Dimitris Kotzinos
• Performance Evaluation of MongoDB and PostgreSQL for Spatio-temporal Data
  Antonios Makris, Konstantinos Tserpes, Giannis Spiliopoulos, Dimosthenis Anagnostopoulos
• A Trajectory Segmentation Algorithm Based on Interpolation-based Change Detection Strategies
  Mohammad Etemad, Amilcar Soares Junior, Arazoo Hoseyni, Jordan Rose, Stan Matwin
• A Network Abstraction of Multi-vessel Trajectory Data for Detecting Anomalies
  Iraklis Varlamis, Konstantinos Tserpes, Mohammad Etemad, Amilcar Soares Junior, Stan Matwin
• On Feature Selection and Evaluation of Transportation Mode Prediction Strategies
  Mohammad Etemad, Amilcar Soares, Stan Matwin, Luis Torgo

DSI4: Data Science for Industry 4.0

• Generic Data Imputation and Feature Extraction for Signals from Multifunctional Printers
  Jakub Valcik, Wojciech Indyk
• Towards a Hierarchical Approach for Outlier Detection in Industrial Production Settings
  Burkhard Hoppenstedt, Manfred Reichert, Klaus Kammerer, Myra Spiliopoulou, Rüdiger Pryss
• Trusted and Auditable Decision Aids
  Dominic Duxbury, Norman Paton, John Keane
• Gaussian Processes for Anomaly Description in Production Environments
  Christian Beecks, Kjeld Willy Schmidt, Fabian Berns, Alexander Graß
• Ensemble-Based Prediction of Business Processes Bottlenecks With Recurrent Concept Drifts
  Yorick Spenrath, Marwan Hassani
• Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective
  Hung Nghiep Tran, Atsuhiro Takasu