-------- Original-Nachricht -------- Betreff: [TCCC-ANNOUNCE] CFP: Special Issue on Data Mining in Pervasive Environments--Elsevier Pervasive and Mobile Computing Journal (PMC) Datum: Tue, 17 Sep 2013 01:30:45 -0400 Von: Nirmalya Roy nirmalya.roy@GMAIL.COM Antwort an: Nirmalya Roy nirmalya.roy@GMAIL.COM An: tccc-announce@COMSOC.ORG
*********** 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-pap...
We solicit high quality and original unpublished papers from researchers working on data mining in pervasive environments to highlight current challenges, and to showcase the latest results.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
******************************************************* 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/ http://www.ees.elsevier.com/pmc/. Authors should select SI: DMPE (Data Mining in Pervasive Environments), 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: Extended Paper submission deadline: September 30, 2013 First Notification: December 30, 2013 Final Notification: February 28, 2014 *******************************************************
Guest Editors of the Special Issue: Nirmalya Roy, University of Maryland Baltimore County, nroy@umbc.edu mailto:nroy@umbc.edu Parisa Rashidi, Northwestern University, parisa.rashidi@northwestern.edu mailto:parisa.rashidi@northwestern.edu Liming Chen, University of Ulster, l.chen@ulster.ac.uk mailto:l.chen@ulster.ac.uk Larry Holder, Washington State University, holder@wsu.edu mailto:holder@wsu.edu
--------------------------------------------------------------------------------------------------------- Regards, Nirmalya Roy Assistant Professor University of Maryland Baltimore County http://userpages.umbc.edu/~nroy
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