Workshop Program

Tuesday, March 30, 2020

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PIE

PIE 2020: 2nd International Workshop on Processing Information Ethically

Online program on Zoom: https://us04web.zoom.us/j/360922558
Please use the same password as the main conference to join the workshop.

Program Online: http://pie.dia.uniroma3.it/

13:00-13:05 Welcome
13:05-13:40 Invited Talk by Oded Shmueli.
Exploiting Latent Information in Databases via Database Embedding: Technology, Applications, Ethics.
13:40-13:55 Jarek Gryz and Nima Shahbazi.
Futility of a Right to Explanation.
13:55-14:10 Andrea Rossi and Antonio Matinata.
Knowledge Graph Embeddings: Are Relation-Learning Models Learning Relations?.
14:10-14:25 Break
14:25-14:40 Federico Croce, Gianluca Cima, Maurizio Lenzerini and Tiziana Catarci.
Ontology-based explanation of classifiers.
14:40-14:55 Chiara Accinelli, Barbara Catania and Simone Minisi.
Coverage-based Rewriting for Data Preparation.
14:55-15:10 Sara Migliorini, Alberto Belussi and Elisa Quintarelli.
Promoting Data Provenance Tracking in the Archaeological Interpretation Process.
15:10-15:15 Farewell

BDMA

BDMA: BIG MOBILITY DATA ANALYSIS 2020

Online workshop on Zoom: https://zoom.us/j/250339349
Please use the same password as the main conference to join the workshop.

Program Online: http://www.datastories.org/bmda20/BMDA20Program.html

13:45-15:00

Session 1: Welcome and Invited Talk

  • Welcome: Chiara Renso & Karine Zeitouni
  • Welcome: Ibad Kureshi (H2020 Track&Know grant)
  • Invited talk: (keynote) Prof. Esteban Zimányi: MobilityDB: Managing Mobility Data in PostgreSQL

15:00-15:45

Session 2: Mobility Data Preprocessing and Enrichment

  • Riccardo Guidotti, Mirco Nanni and Francesca Sbolgi.
    Data-Driven Location Annotation for Fleet Mobility Modeling.
  • Agnese Bonavita, Riccardo Guidotti and Mirco Nanni.
    Self-Adapting Trajectory Segmentation.
  • Behrooz Omidvar-Tehrani, Plácido A. Souza Neto, Francisco B. Silva Júnior and Felipe F. Pontes.
    Exploration of Interesting Dense Regions on Spatial Data.

15:45-16:00 Break
16:00-16:45

Session 3: Big Trajectory Data Processing and Analytics

  • 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.
  • Omid Isfahani Alamdari, Mirco Nanni, Roberto Trasarti and Dino Pedreschi.
    Towards In-Memory Sub-Trajectory Similarity Search.
  • 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.

16:45-17:30

Session 4: Mobility Data Analytics and Applications

  • Hanna Kavalionak, Massimo Tosato, Paolo Barsocchi and Franco Maria Nardini.
    Dynamic Wi-Fi RSSI normalization in unmapped locations.
  • 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.
  • Marta Galvani, Agostino Torti, Alessandra Menafoglio and Simone Vantini.
    A novel spatio-temporal clustering technique to study the bike sharing system in Lyon.
  • Closing remarks

17:30-17:45 Closing remarks

DARLI-AP

Data Analytics solutions for Real-LIfe APplications

Online workshop on Zoom: https://zoom.us/j/274729573
Please use the same password as the main conference to join the workshop.

Slack Channel: URL: darliap-2020.slack.com

Program Online: http://dbdmg.polito.it/darli-ap2020/index.php/program

14:00-14:05 Welcome by Dr. Genoveva Vargas-Solar (DARLI-AP co-chair)
14:05-14:13 Flavio Giobergia, Luca Cagliero, Paolo Garza, Elena Baralis.
Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment.
14:13-14:21 Nikolaos Lagos, Ioan Calapodescu.
Culture-aware Point-of-Interest Category Completion in a Global Location-Based Social Network Database without Access to User Data.
14:21-14:29 Shuhei Yoshimi, Koji Eguchi.
Forecasting Corporate Financial Time Series using Multi-phase Attention Recurrent Neural Networks.
14:29-14:37 Alexander Westermann, Philipp Krayer, Andreas Weiler.
AdsISee: Advertisement Detection and Tracking for Sponsorship Evaluation in Soccer Matches .
14:37-14:45 Sheng Zhang, Haoyang Che, Jiacai Zhang, Yucong Duan.
Exploring the Auto Model Competition Patterns in China's Auto Market based on Complex Networks Theory .
14:45-14:53 Ermelinda Oro, Massimo Ruffolo, Fausto Pupo.
A Cognitive Automation Approach for a Smart Lending and Early Warning Application .
14:53-15:01 Francesca Soro, Marco Mellia, Nicolo Russo.
Regular Pattern and Anomaly Detection on Corporate Transaction Time Series .
15:01-15:09 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 .
15:09-15:17 Sachit Mishra, Luca Vassio, Luca Cagliero, Marco Mellia, Elena Baralis, Riccardo Loti, Lucia Salvatori.
Machine Learning Supported Next-Maintenance Prediction for Industrial Vehicles .
15:17-15:25 Piotr Matyjaszczyk, Przemyslaw Rosowski, Robert Wrembel.
GooDBye: a Good Graph Database Benchmark - an Industry Experience .
15:25-15:33 Sara Migliorini, Alberto Belussi.
A Balanced Solution for the Partition-based Spatial Merge Join in MapReduce .
15:33-15:41 Nadine Steinmetz, Samar Shahabi Ghahfarokhi, Kai-Uwe Sattler.
Question Answering on OLAP-like Data Sources .
15:41-15:49 Allison Jacobs, Shivangi Chopra, Lukasz Golab.
Reddit Mining to Understand Women's Issues in STEM .
15:49-15:57 Daniele Apiletti, Eliana Pastor, Riccardo Callà, Elena Baralis.
Evaluating espresso coffee quality by means of time-series feature engineering .
15:57-16:05 Abeer Khan, Lukasz Golab.
Reddit Mining to Understand Gendered Movements .
16:05 Closing

SEA Data 2020 ONLINE

Search, Exploration, and Analysis in Heterogeneous Datastores

Online workshop on Zoom: https://us04web.zoom.us/j/924062411
Please use the same password as the main conference to join the workshop.

The Workshop time will be spent in discussions and Q&A for the various presentations (Keynote and research papers) that can be found at the following youtube channel after March 28

Program Online: https://sea-data.ml

13:30 Welcome & Intro
Keynote by George Fletcher.
Knowledge graph analytics with AvantGraph, a new main-memory property graph analytics engine.
13:50

Discussion and Questions: Part 1

  • 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.
  • Damianos Chatziantoniou and Verena Kantere.
    Data Virtual Machines: Data-Driven Conceptual Modeling of Big Data Infrastructures.

14:20

Discussion and Questions: Part 2

  • Irène Burger, Ioana Manolescu, Emmanuel Pietriga, and Fabian Suchanek.
    Toward Visual Interactive Exploration of Heterogeneous Graphs.
  • 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.
  • Common challenges, research directions, visions on Search, Exploration, and Analysis in Heterogeneous Datastores.
    General Discussion and Questions.


BigVis 2020

Big Data Visual Exploration and Analytics

Online workshop on GoToMeeting: https://www.gotomeet.me/AthenaRoom1/bigvis2020-online-workshop

Program Online: https://bigvis.imsi.athenarc.gr/bigvis2020/program.html

11:30-11:35 Welcome & Opening Remarks
11:35-11:45

Presentation of the BigVis Challenges Report

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: Future Research Challenges and Emerging Applications.

11:45-12:10

Lightning Talks. Each author will give a 2-slide teaser talk.

12:10-12:30

Q&A , Discussion and Closing remar.


DOLAP

DOLAP: 22nd International Workshop On Design, Optimization, Languages and Analytical Processing of Big Data

Presentation Videos and Contacts for Questions on Workshop Website

Program Online: http://www.essi.upc.edu/dtim/DOLAP/program.html

  • Invited talk: Ioana Manolescu (Inria Saclay - Ecole Polytechnique, France).
    Dagger: Finding interesting aggregates in RDF graphs.
  • 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

ETMLP: International Workshop on Explainability for Trustworthy ML Pipelines

Presentation Videos and Contacts for Questions on Workshop Website

Program Online: https://europe.naverlabs.com/etmlp/

  • Keynote by Yanlei Diao
  • 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.
  • Panel on Explainability for Trustworthy ML Pipelines.
    Panelists: Philipp Schlunder, Fosca Giannotti, Helena Kotthaus, Nico Piatkowski, Katharina Morik.
  • 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.