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ORCID22nd EDBT / 22nd ICDT 2019: Lisbon, Portugal: Workshops
- Paolo Papotti:
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, EDBT/ICDT 2019, Lisbon, Portugal, March 26, 2019. CEUR Workshop Proceedings 2322, CEUR-WS.org 2019
BigVis: Big Data Visual Exploration and Analytics
- Xiaozhong Zhang, Xiaoyu Ge, Panos K. Chrysanthis, Mohamed A. Sharaf:
ViewSeeker: An Interactive View Recommendation Tool. - Tania Cerquitelli, Evelina Di Corso, Stefano Proto, Alfonso Capozzoli, Fabio Bellotti, Maria Giovanna Cassese, Elena Baralis, Marco Mellia, Silvia Casagrande, Martina Tamburini:
Exploring energy performance certificates through visualization. - Jakob Smedegaard Andersen:
A User Centric Visual Analytics Framework for News Discussions. - Panagiotis Bouros, Ira Assent, Jacob Jeppesen, Thomas Skjødeberg Toftegaard:
Processing Satellite Imagery for Decision-Making in Precision Agriculture. - Anna Gogolou, Theophanis Tsandilas, Themis Palpanas, Anastasia Bezerianos:
Progressive Similarity Search on Time Series Data. - Ioana Manolescu, Mirjana Mazuran:
Speeding up RDF Aggregate Discovery through Sampling. - Marios Meimaris:
Visualizing Implicit RDF Schema with the Help of Embeddings. - Alex Watson, Scott Bateman, Suprio Ray:
PySnippet: Accelerating Exploratory Data Analysis in Jupyter Notebook through Facilitated Access to Example Code. - Christos Athinaiou, Haridimos Kondylakis:
VESEL: VisuaL Exploration of Schema Evolution using Provenance Queries.
DARLI-AP: Data Analytics Solutions for Real-Life Applications
- 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:
A Cloud-to-edge Architecture for Predictive Analytics. - Pietro Michiardi, Damiano Carra, Sara Migliorini:
In-memory Caching for Multi-query Optimization of Data-intensive Scalable Computing Workloads. - Katsuya Ito, Akira Kinoshita, Masashi Yoshikawa:
Structural Change Point Detection Using A Large Random Matrix and Sparse Modeling. - Khalid Belhajjame, Noura Faci, Zakaria Maamar, Vanilson Arruda Burégio, Edvan Soares, Mahmoud Barhamgi:
Privacy-Preserving Data Analysis Workflows for eScience. - Trung-Dung Le, Verena Kantere, Laurent d'Orazio:
Dynamic Estimation for Medical Data Management in a Cloud Federation. - Agnese Chiatti, Gianluca Bardaro, Emanuele Bastianelli, Ilaria Tiddi, Prasenjit Mitra, Enrico Motta:
Exploring Task-agnostic, ShapeNet-based Object Recognition for Mobile Robots. - Shivangi Chopra, Abeer Khan, Melicaalsadat Mirsafian, Lukasz Golab:
Gender Differences in Science and Engineering: A Data Mining Approach. - Takahiko Shintani, Tadashi Ohmori, Hideyuki Fujita:
Method for Comparing Long-term Daily Life using Long-duration Episodes. - Ariane Ziehn, Marcela Charfuelan, Holmer Hemsen, Volker Markl:
Time Series Similarity Search for Streaming Data in Distributed Systems. - Matteo Nisi, Daniela Renga, Daniele Apiletti, Danilo Giordano, Tao Huang, Yang Zhang, Marco Mellia, Elena Baralis:
Transparently Mining Data from a Medium-voltage Distribution Network: A Prognostic-diagnostic Analysis. - Takumi Matsumoto, Yuya Sasaki, Makoto Onizuka:
Data Slice Search for Local Outlier View Detection: A Case Study in Fashion EC. - Dena Markudova, Elena Baralis, Luca Cagliero, Marco Mellia, Luca Vassio, Elvio Gilberto Amparore, Riccardo Loti, Lucia Salvatori:
Heterogeneous Industrial Vehicle Usage Predictions: A Real Case. - Andrea Pasini, Elena Baralis, Paolo Garza, Davide Floriello, Michela Idiomi, Andrea Ortenzi, Simone Ricci:
Adaptive Hierarchical Clustering for Petrographic Image Analysis.
BMDA: Big Mobility Data Analytics
- Nikolaos Koutroumanis, Georgios M. Santipantakis, Apostolos Glenis, Christos Doulkeridis, George A. Vouros:
Integration of Mobility Data with Weather Information. - Alexandros Kontarinis, Karine Zeitouni, Claudia Marinica, Dan Vodislav, Dimitris Kotzinos:
Towards A Semantic Indoor Trajectory Model. - Antonios Makris, Konstantinos Tserpes, Giannis Spiliopoulos, Dimosthenis Anagnostopoulos:
Performance Evaluation of MongoDB and PostgreSQL for Spatio-temporal Data. - Mohammad Etemad, Amílcar Soares Júnior, Arazoo Hoseyni, Jordan Rose, Stan Matwin:
A Trajectory Segmentation Algorithm Based on Interpolation-based Change Detection Strategies. - Iraklis Varlamis, Konstantinos Tserpes, Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin:
A Network Abstraction of Multi-vessel Trajectory Data for Detecting Anomalies. - Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin, Luís Torgo:
On Feature Selection and Evaluation of Transportation Mode Prediction Strategies.
DSI4: Data Science for Industry 4.0
- Jakub Valcík, Wojciech Indyk:
Generic Data Imputation and Feature Extraction for Signals from Multifunctional Printers. - Burkhard Hoppenstedt, Manfred Reichert, Klaus Kammerer, Myra Spiliopoulou, Rüdiger Pryss:
Towards a Hierarchical Approach for Outlier Detection in Industrial Production Settings. - Dominic Duxbury, Norman W. Paton, John A. Keane:
Trusted and Auditable Decision Aids. - Christian Beecks, Kjeld Willy Schmidt, Fabian Berns, Alexander Graß:
Gaussian Processes for Anomaly Description in Production Environments. - Yorick Spenrath, Marwan Hassani:
Ensemble-Based Prediction of Business Processes Bottlenecks With Recurrent Concept Drifts. - Hung Nghiep Tran, Atsuhiro Takasu:
Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective.
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