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Heterogeneous Crowdsourced Data Analytics

Submission Deadline: 16 January 2016

Submission Deadline: 16 January 2016

IEEE Access invites manuscript submissions in the area of Heterogeneous Crowdsourced Data Analytics.

Advances in computing, communications, storage, and sensing technologies have enabled to digitalize and record citizens’ traces while interacting with cyber-physical spaces. We have entered an era where such data are becoming increasingly big and easily available. These data are heterogeneous, contributed by the crowd of people, coming from different sources and with diverse formats. Broadly, such data are generated mainly from three sources: Internet and Web applications, sensor networks, and mobile/wearable devices. The scale and richness of the multimodal, mixed data sources present us an opportunity to compile the data into a comprehensive picture of individuals’ daily life facets, transform our understanding of our lives, organizations and societies, and enable completely innovative urban services, including public people and freight transportation, public safety, city resource management, environment monitoring, and social interaction assistance. However, raw data is heterogeneous, redundant, fragmented, and quality-variant, which prevents their direct use for analysis, management, forecasting and planning. Consequently, emerging data analytics targeted to their sessions, including data co-mining, data fusion, data selection, need to be studied and applied more thoroughly.

This Special Section in IEEE Access invites authors from academia and industry to submit their original research as well as review articles to present state-of-the-art progress on latest developments or future goals in this field. In line with applying novel data analytics for smart cities, topics of interest include, but are not limited to:

  • Human mobility behaviors understanding, modeling, predication and supporting applications
  • Advanced data co-mining and fusion techniques, and supporting applications
  • Advanced data integration, management, retrieval, and visualization techniques
  • Advanced data sharing techniques while preventing user privacy
  • Participant and data selection in Mobile Crowdsensing
  • Security and privacy issues and possible solutions in data collection, transmission, and aggregation
  • Urban infrastructure management, optimization, designing, and planning
  • Flawed urban planning problem identification and possible solutions
  • Advanced and context-aware route planning, such as customization of driving/travel route recommendation
  • Innovative urban services and applications

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Zhangbing Zhou, China University of Geosciences (Beijing), China, & TELECOM SudParis, France

Guest Editors:
1. Chao Chen, Chongqing University, China
2. Jean-Claude Thill, University of North Carolina at Charlotte, USA
3. Mahmoud Barhamgi, Claude Bernard Lyon I University, France

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://mc.manuscriptcentral.com/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)