Fwd: [SIG-IRList] DAMI Special Issue: Data Mining for Smart Cities

[Glen Newton]

OPI 

---------- Forwarded message ----------
From: Ioannis Katakis <[hidden email]>
Date: Sat, May 28, 2016 at 11:41 AM
Subject: [SIG-IRList] DAMI Special Issue: Data Mining for Smart Cities
To: "[hidden email]" <[hidden email]>


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Data Mining and Knowledge Discovery Journal (Springer)
Special Issue Call for Papers
Data Mining for Smart Cities - http://goo.gl/yJeKZq
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# Guest Editors
- Katharina Morik, TU Dortmund University, Germany ([hidden email])
- Fosca Giannotti, ISTI-CNR, Pisa, Italy ([hidden email])
- Marta Gonzalez, MIT, USA ([hidden email])
- Ioannis Katakis, National and Kapodistrian University of Athens, Greece ([hidden email])

# Editor-in-Chief
Johannes Fuernkranz

# Paper Submission
Submission Due: July 4, 2016, 23:59 UTC

# Scope
More than 54% of the world’s population lives in urban areas, i.e., more than 3.9 billion people. This challenges the cities’ communities and institutions to develop smart infra-structures and services for mobility, homes, care, and energy. Also companies invest into a sustainable economic development of cities. Due to smartphones as a human sensor and other sensors that are integrated into public transport, home infrastructure, streets, or buildings, a plenitude of data exists. Micro-blogging and social networks provide linguistic data and pictures in a stream. Open data from city councils provides additional information. The analysis of a city’s data faces diverse tasks ranging from the raw data to actually controlling processes like, e.g., traffic lights or the heating at home. The purpose of this special issue is to bring together the contributions of data mining to all aspects of smart cities.

# Topics of Interest:
Researchers are invited to submit papers focusing on data mining techniques for smarter cities such as:
- Urban data fusion from heterogeneous sources
- Social sensing and semantic enrichment
- Big data analytics and social mining for urban studies
- Real-time nowcasting and prediction of events
- Mobility mining and modeling for vehicles and crowds
- Traffic forecasting
- City user profiling
- Nudging and recommendation models for citizens behavior
- Interplay of data mining and complex system modeling for urban studies
- Interactive exploration of city data
- Visual analytics of static and streaming data
- Social network analysis for enhancing urban services
- Participatory crowd sensing
- Incentive models for citizen participation
- Data streams management and analysis
- Feature extraction and deep learning from urban data
- Analysis and forecasting of extraordinary city events
We encourage submission of papers that are utilizing open urban data or that make their datasets available online.

# Submission Guidelines
Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals.  Manuscripts should be submitted to:
http://DAMI.edmgr.com
This online system offers easy and straightforward log-in and submission procedures, and supports a wide range of submission file formats. The article type Data Mining for Smart Cities should be chosen when submitting a manuscript to this special issue. The Information for Authors, including journal-specific guidelines can be found at: www.springer.com/10618



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