IS 2015 - Mining Urban Data - Special Issue - Information Systems (Elsevier)

# Scope
The establishment of innovative technologies related to mobile wearable computing and smart city infrastructures led to the generation of massive heterogeneous data streams. For example, sensors established in junctions can estimate the volume of traffic at a specific area. These sensors form networks that are able to track the vehicle flow of an entire city. Moreover, GPS sensors installed on public transport (e.g. buses) can create similar city pictures since delays can be tracked and utilized to monitor problems around the city. In addition, citizens constantly interact with mobile sensors in their smart-phones or use wearable technologies (e.g. in shoes) that track their activity. At the same time micro-blogging applications like Twitter provide a new stream of information that can be utilized to capture events, trends or sentiment. The purpose of this special issue to discuss the research challenges that arise due to the introduction of such data.
# Topics of Interest
Researchers are encouraged to submit papers focusing on the context of
"smart cities". Indicatively topics of interest are the following:
- Mining Streaming and Heterogeneous Data
- Big Data Management
- Mobile Data Management
- Sensor and Vehicular Networks
- Information Fusion
- Mining Mirco-blogs
- Noise, Uncertainty and Crowdsourcing
- Social Network Analysis
- Spatial Analysis and Visual Analytics
# Applications
- Disaster Management and Emergency Response
- Public Transport
- Energy Efficiency
- Event Detection
- Enabling and Improving Smart Cities
- Health
- Security
# Submission Guidelines
Authors should prepare their manuscript according to the Guide for Authors available from the online submission page of the Information Systems at http://ees.elsevier.com/is/. Authors must select "Mining Urban Data" when they reach the "Article Type" step in the submission process. All papers will be peer-reviewed following the Information Systems reviewing procedures.
# Guest Editors
- Ioannis Katakis, National & Kapodistrian University of Athens
- Gennady Andrienko, Fraunhofer IAIS and City University London
- Dimitrios Gunopulos, National & Kapodistrian University of Athens
- Yannis Ioannidis, National & Kapodistrian University of Athens
- Vana Kalogeraki, Department of Informatics, Athens University of Economics and Business
- Pedro Jose Marron, Universitat Duisburg-Essen
- Katharina Morik, Technische Universitat Dortmund
- Olivier Verscheure, IBM Research, Ireland