[Tccc] Special Issue on Data Mining in Pervasive Environments
Parisa Rashidi
parisa.rashidiatnorthwestern.edu
Mon Jun 24 09:17:31 EDT 2013
*********** Special Issue on Data Mining in Pervasive Environments ******
Elsevier Pervasive and Mobile Computing Journal (PMC)
Website:
http://www.journals.elsevier.com/pervasive-and-mobile-computing/call-for-papers/special-issue-on-data-mining-in-pervasive-environments/
We solicit high quality and original unpublished papers from researchers
working on data mining in pervasive environments to highlight current
challenges, and to showcase the latest results. The results will
demonstrate how current data mining, mobile sensing and knowledge
discovery methods can be extended to mining solutions for dealing with
challenging real world problems. The unique nature of sensor data in
pervasive environments demands for novel data mining, mobile sensing and
knowledge discovery methods that can handle large, multi-modal,
heterogeneous and distributed streams of data. We hope that the results
of this special issue not only can be beneficial for the pervasive
computing community, but the resulting algorithms and solutions will
also be adapted by researchers in various other application fields.
*******************************************************
The major topics of the special issue include, but not limited to:
1. Unsupervised methods for discovering interesting patterns such as
human activity and behavior based on:
-Novel data mining methods
-Relational and graph mining methods
-Real time analysis of dynamic sensor data
-Models for sensor fusion
-Multimodal context recognition
2. Supervised machine learning methods for analyzing data in pervasive
environments
-Generative and Discriminative models
-Relational models
-Graphical models
3. Mobile sensing
- Mobile data collection models
- Mining large scale sensor data
- Sensing and machine learning techniques
- Participatory, opportunistic and collaborative sensing
- Activity recognition and personal health monitoring using mobile phones
4. Case studies based on success stories of data mining techniques for
real-world pervasive computing applications
-Low level sensor data(accelerometers, GPS, RFID, Motion sensors, etc),
Physiological sensors, smart phone based sensing, video and audio, other
mediums
-Data fusion and uncertainty reasoning for situation awareness
-Novel proposals on architecture and middleware design for smart
environments services
-Services and applications in pervasive healthcare, green building
energy management and intelligent transportation, etc.
-Test-beds and real world deployments
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Submission process:
All submissions have to be prepared according to the Guide for Authors
as published in the Journal website at www.ees.elsevier.com/pmc/.
Authors should select SI: Data Mining, from the "Choose Article Type"
pull-down menu during the submission process. All contributions must not
have been previously published or be under consideration for publication
elsewhere. A submission based on one or more papers that appeared
elsewhere has to comprise major value-added extensions over what
appeared previously (at least 30% new material). Authors are requested
to attach to the submitted paper their relevant, previously published
articles and a summary document explaining the enhancements made in the
journal version.
*******************************************************
Important Dates:
Paper submission deadline: September 15, 2013
First Notification: December 15, 2013
Final Notification: February 15, 2014
*******************************************************
Guest Editors of the Special Issue:
Nirmalya Roy, University of Maryland at Baltimore County,
nirmalya.... at gmail.com
Parisa Rashidi, Northwestern University, parisa.rash... at northwestern.edu
Liming Chen, University of Ulster, l.c... at ulster.ac.uk
Larry Holder, Washington State University, hol... at wsu.edu
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