Vol-2083
urn:nbn:de:0074-2083-1

Copyright © 2018 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

EDBT/ICDT-WS 2018
EDBT/ICDT 2018 Workshops

Proceedings of the Workshops of the EDBT/ICDT 2018 Joint Conference (EDBT/ICDT 2018)

Vienna, Austria, March 26, 2018.

Edited by

EDBT/ICDT Workshop Chair
Nikolaus Augsten, University of Salzburg, Austria

General Chairs of EDBT/ICDT 2018 Workshops
Tania Cerquitelli, Politecnico di Torino, Italy
Silvia Chiusano, Politecnico di Torino, Italy
Genoveva Vargas-Solar, CNRS, LIG-LAFMIA, France
Nikos Bikakis, ATHENA Research Center, Greece
George Papastefanatos, ATHENA Research Center, Greece
Olga Papaemmanouil, Brandeis University, USA
Nikos Pelekis, University of Piraeus, Greece
Gennady Andrienko, Fraunhofer IAIS, Germany
Alexander Artikis, University of Piraeus & NCSR Demokritos, Greece
Fosca Giannotti, ISTI CNR Pisa, Italy
Akrivi Kiousi, Intrasoft International, Greece
Themis Palpanas, Paris Descartes University, France
Yannis Theodoridis, University of Piraeus & Athena RIC, Greece

Table of Contents

Message from the Chairs
Nikolaus Augsten, Michael Böhlen, Benny Kimelfeld, Reinhard Pichler

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

Community Detection and Correlated Attribute Cluster Analysis on Multi-Attributed Graphs 2-9
Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa
Classifying Land Cover from Satellite Images Using Time Series Analytics 10-15
Patrick Schäfer, Dirk Pflugmacher, Patrick Hostert, Ulf Leser
Data Analytics to Improve Co-Operative Education 16-21
Shivangi Chopra, Yuheng Jiang, Andrew Toulis, Lukasz Golab
Recommendation of Job Offers Using Random Forests and Support Vector Machines 22-27
Jorge Martinez-Gil, Bernhard Freudenthaler, Thomas Natschläger
Sensitive Attribute Prediction for Social Networks Users 28-35
Younes Abid, Abdessamad Imine, Michaël Rusinowitch
MLNET - Machine Learning Models for Network Analytics 36-43
Pedro Casas
Unsupervised Video Semantic Partitioning Using IBM Watson and Topic Modelling 44-49
Alexandre Quemy, Krzysztof Jamrog, Marcin Janiszewski
Study of the Applicability of an Itemset-Based Portfolio Planner in a Multi-Market Context 50-55
Luca Cagliero, Paolo Garza
Mining Implicit Data Association from Tripadvisor Hotel Reviews 56-61
Vittoria Cozza, Marinella Petrocchi, Angelo Spognardi
Using a NoSQL Graph Oriented Database to Store Accessible Transport Routes 62-66
Belén Vela, José María Cavero, Paloma Cáceres, Almudena Sierra, Carlos E. Cuesta
Guided Query Composition with Semantic OLAP Patterns 67-74
Ilko Kovacic, Christoph G. Schuetz, Simon Schausberger, Roman Sumereder, Michael Schrefl

Big Data Visual Exploration and Analytics: BigVis

Enabling Hierarchical Exploration for Large-Scale Multidimensional Data with Abstract Parallel Coordinates 76-83
Gaëlle Richer, Joris Sansen, Frédéric Lalanne, David Auber, Romain Bourqui
Finding the Needle in a Haystack: Entropy Guided Exploration of Very Large Graph Cubes 84-91
Dritan Bleco, Yannis Kotidis
Map-Based Visual Exploration of Geolocated Time Series 92-99
Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Spiros Athanasiou, Spiros Skiadopoulos
An Interactive 3D Visualization for the LOD Cloud 100-103
Maria-Evangelia Papadaki, Panagiotis Papadakos, Michalis Mountantonakis, Yannis Tzitzikas
Topic-aware Network Visualisation to Explore Large Email Corpora 104-107
Tim Repke, Ralf Krestel

Big Mobility Data Analytics: BMDA

A Distributed Online Learning Approach for Pattern Prediction over Movement Event Streams with Apache Flink 109-116
Ehab Qadah, Michael Mock, Elias Alevizos, Georg Fuchs
Mining Vessel Trajectory Data for Patterns of Search and Rescue 117-124
Konstantinos Chatzikokolakis, Dimitrios Zissis, Giannis Spiliopoulos, Konstantinos Tserpes
DiStRDF: Distributed Spatio-temporal RDF Queries on Spark 125-132
Panagiotis Nikitopoulos, Akrivi Vlachou, Christos Doulkeridis, George A. Vouros
Short-Term Traffic Forecasting: A Dynamic ST-KNN Model Considering Spatial Heterogeneity and Temporal Non-Stationarity 133-140
Shifen Cheng, Feng Lu

The whole proceedings can also be downloaded as a single file (PDF, including title pages, preface, and table of contents).

2018-03-26: submitted by Nikolaus Augsten, metadata incl. bibliographic data published under Creative Commons CC0
2018-03-28: published on CEUR-WS.org |valid HTML5|