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Mining Urban Data 3 - KDD 2018 Workshop - Deadline: May 29th, 2018 
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Call for Papers - MUD3 - 3rd International Workshop on Mining Urban Data 

URL: http://kddlab.di.uoa.gr/mud3/

# Important Dates

Please, refer to  http://kddlab.di.uoa.gr/mud3/ for up-to-date information.

- Paper submission: May 29th, 2018
- Notification: June 15th, 2018
- Workshop day: August 20, 2018


# 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  data mining algorithms. Such are diversity, privacy, distributed and partitioned data, lack of labels, noise, complimentarity of multiple sources and the requirement for online learning. Many smart city applications require to tackle all these problems in parallel. This workshop aims at discussing a set of new data mining applications and paradigms emerging from the smart city environment.  

We especially welcome contributions based on data that can be reused by the community, and we plan to make a list of these data sets available on the workshop website. For researchers who would like to try their hand on smart city data, data sets from the city of Dublin and the city of Warsaw will be listed on the workshop's website.

# Topics

A non-exhaustive list of challenges posed by smart cities data and welcomed at the workshop include:

- Online learning / Data Stream Mining
- Large Scale Analytics 
- Mining Mobile data
- Heterogeneous Sensor Data
- Learning with Social media 
- Event Detection 
- Learning with Uncertain/Noisy Data
- Learning without Labels
- Computer Vision
- Sensor Networks
- Visual Analytics
- Traffic Management
- Crowd Sourcing
- Emergency Response

All the above should be addressed in the smart city context.

# Applications

MUD will focus on presenting novel approaches that target some of the following applications: a) Traffic Management, b) Public Transport Adjustment, c) Accident Prevention, d) Resource Allocation, e) Energy Efficiency, f) Sentiment Analysis, g) Environmental Applications.

# Invited Speakers

 To be announced

# Organizers
 - Gennady Andrienko, Fraunhofer IAIS and City University London
 - Dimitrios Gunopulos, National & Kapodistrian University of Athens
 - Vana Kalogeraki, Athens University of Economics and Business
 - Ioannis Katakis, University of Nicosia
 - Thomas Liebig, TU Dortmund University
 - Jakub Marecek, IBM Research Ireland
 - Katharina Morik, TU Dortmund University

 The workshop is organized by the consortium of the EU Project VaVeL. For more information please visit http://www.vavel-project.eu/

# Submission

Submission are being accepted at EasyChair: https://easychair.org/conferences/?conf=mud3

Submissions should follow the KDD 2018 format (http://www.kdd.org/kdd2018/calls/view/kdd-2018-call-for-research-papers) and can be up to eight pages long, excluding references. Additional appendices are allowed. Papers do not need to be anonymized. All submissions will be reviewed by at least two independent reviewers. The conference proceedings will be published as CEUR Workshop Proceedings (CEUR-WS.org) and will be indexed by DBLP. Accepted papers will be either presented as a talk or poster. We welcome submissions on novel research work as well as extended abstracts on work recently published or under review in another conference or journal. In that case only an extended abstract will be published in the proceedings.

Please find more information at the website: http://kddlab.di.uoa.gr/mud3/
KDD 2018 web site: http://www.kdd.org/kdd2018/

If you have any question about the workshop, you can send an email to mud3@easychair.org


Gennady Andrienko,
Dimitrios Gunopulos, 
Vana Kalogeraki, 
Ioannis Katakis, 
Thomas Liebig,
Jakub Marecek,
Katharina Morik