OPI: Conference: Mining Urban Data - Workshop at ICML - Call for Participation

[Glen Newton]

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Mining Urban Data 2 - ICML 2015 Workshop - July 11, 2015 - Lille, France
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# Call for Participation

MUD2 - Machine Learning Edition: Emerging Learning Paradigms and
Applications for Smart Cities

# Smart Cities and Urban Data

We are gradually moving towards a smart city era. Many innovative
applications arise daily utilizing massive urban data streams.
Technologies that apply machine learning algorithms to urban data will
have significant impact in many aspects of the citizens' everyday
life. Examples of such applications include managing disastrous
events, understanding the city's sentiment and opinion, tracking
health issues, monitoring crucial environmental factors as well as
improving energy efficiency and optimizing traffic. Unfortunately,
urban data have some characteristics that hinder the state of the art
in  machine learning algorithms. Such are diversity, privacy,
distributed and partitioned data, lack of labels, noise, complimentary
of multiple sources and requirement for online learning. Many smart
city applications require to tackle all these problems at once. This
workshop aims at discussing a set of new Machine Learning applications
and paradigms emerging from the smart city environment.

# Invited Speakers

- Kristian Kersting (Fraunhofer IAIS and Technical University of
Dortmund) http://www-kd.iai.uni-bonn.de/index.php?page=people_details&id=21
* Poisson Dependency Networks: Gradient Boosted Models for
Multivariate Count Data

- Eleni Pratsini (IBM Smart Cities Centre)
http://www.research.ibm.com/labs/ireland/
* Using Big Mobile Data to Analyze Social Events in Cities

- Sarad Mehrotra (University of California, Irvine)
https://www.ics.uci.edu/~sharad/
* Towards "on the fly" data cleaning

# Accepted Papers

- Axel Schulz, Petar Ristoski, Johannes Fürnkranz and Frederik
Janssen. Event-based Clustering for Reducing Labeling Costs of
Incident-Related Microposts
- Lidia Contreras Ochando, Cristina I. Font Julián, Francisco
Contreras Ochando and Cesar Ferri. Airvlc: An application for
real-time forecasting urban air pollution
- Thomas Liebig, Sabine Storandt, Peter Sanders, Walied Othman and
Stefan Funke. Report from Dagstuhl: SocioPaths - Multimodal
Door-to-Door Route planning via Social Paths
- Boris Chidlovskii. Improved Trip Planning by Learning from Travelers' Choices
- Ali Ziat, Gabriella Contardo, Nicolas Baskiotis and Ludovic Denoyer.
Car-traffic forecasting: A representation learning approach
- Martin Sykora, Colin Robertson, Ketan Shankardass, Rob Feick,
Krystelle Shaughnessy, Becca Coates, Haydn Lawrence and Thomas W.
Jackson. Stresscapes: Validating Linkages between Place and Stress
Expression on Social Media
- Avigdor Gal, Avishai Mandelbaum, Francois Schnitzler, Arik
Senderovich and Matthias Weidlich. On Predicting Traveling Times in
Scheduled Transportation
- Stefan Funke, Robin Tibor Schirrmeister and Sabine Storandt.
Automatic Extrapolation of Missing Road Network Data in OpenStreetMap
- Thomas Liebig, Marco Stolpe and Katharina Morik. Distributed Traffic
Flow Prediction with Label Proportions
- Christian Pölitz. Modelling Time and Location in Topic Models
- Nikolas Zygouras, Nikolaos Panagiotou, Nikos Zacheilas, Ioannis
Boutsis, Vana Kalogeraki, Ioannis Katakis and Dimitrios Gunopulos.
Towards detection of faulty traffic sensors in real-time
- Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Céline Robardet
and Jean-François Boulicaut. Profiling users of the Velo’v bike
sharing system
- Nikolaos Larios, Christos Mitatakis, Vana Kalogeraki and Dimitrios
Gunopulos. Evaluating distance measures for trajectories in the mobile
setting
- Joelle Pineau and Pierre-Luc Bacon. Analyzing Open Data from the
City of Montreal
- Indre Zliobaite, Michael Mathioudakis, Tuukka Lehtiniemi, Pekka
Parviainen and Tomi Janhunen. Accessibility by public transport
predicts residential real estate prices: a case study in Helsinki
region

# Schedule

http://www.insight-ict.eu/mud2/schedule.html

# Data

We are in the process of collecting and providing links to open urban data
http://www.insight-ict.eu/mud2/data.html

# Organizers

 - Ioannis Katakis, National & Kapodistrian University of Athens
 - Francois Schnitzler, The Technion
 - Thomas Liebig, TU Dortmund University
 - Gennady Andrienko, Fraunhofer IAIS and City University London
 - Dimitrios Gunopulos, National & Kapodistrian University of Athens
 - Shie Mannor, The Technion
 - Katharina Morik, TU Dortmund University

 The workshop is organized by the consortium of the EU Project
INSIGHT. For more information please visit www.insight-ict.eu



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