New PDF release: Analysis of Social Media and Ubiquitous Data: International

By Wolfgang Woerndl, Alexander Manhardt (auth.), Martin Atzmueller, Andreas Hotho, Markus Strohmaier, Alvin Chin (eds.)

ISBN-10: 3642235980

ISBN-13: 9783642235986

This e-book constitutes the joint completely refereed post-proceedings of The Modeling Social Media Workshop, MSM 2010 held in Toronto, Canada in June 2010 and the overseas Workshop on Mining Ubiquitous and Social Environments, MUSE 2010, held in Barcelona, Spain in September 2010.

The 8 revised complete papers incorporated have been conscientiously reviewed and chosen after rounds of reviewing and revision. The papers tackle quite a few points of the research and engineering of socio-computational structures during which social, ubiquitous and computational approaches are interdependent and tightly interwoven

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Read Online or Download Analysis of Social Media and Ubiquitous Data: International Workshops MSM 2010, Toronto, Canada, June 13, 2010, and MUSE 2010, Barcelona, Spain, September 20, 2010, Revised Selected Papers PDF

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Additional info for Analysis of Social Media and Ubiquitous Data: International Workshops MSM 2010, Toronto, Canada, June 13, 2010, and MUSE 2010, Barcelona, Spain, September 20, 2010, Revised Selected Papers

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791–800. ACM Press, New York (2009) 6. : The Mobile Sensing Platform: An Embedded Activity Recognition System. IEEE Pervasive Computing 7(2), 32–41 (2008) 7. : User Activity Recognition and Logging in Distributed Intelligent Gadgets. In: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Seoul, Korea (2008) 8. : MobSens: Making Smart Phones Smarter. IEEE Pervasive Computing 8(4), 50–57 (2009) 9. net/ (accessed, June 2010) 10. : Extracting Places From Traces of Locations.

So far, our framework is tailored for the Microsoft Windows Mobile framework but similar tools can be implemented on other platforms like iPhone and Android. We are also investigating standards for interoperability of data collected on different platforms or logging frameworks. Existing relevant initiatives include the Attention Profiling Markup Language (APML) [12] and the Contextualized Attention Metadata framework (CAMf) [13]. One of the most important next steps of our work is also to investigate the analysis of the collected data using data mining and machine learning methods, and hence studying the second step of the user modeling process (see Section 1).

The Mobile Sensing Platform: An Embedded Activity Recognition System. IEEE Pervasive Computing 7(2), 32–41 (2008) 7. : User Activity Recognition and Logging in Distributed Intelligent Gadgets. In: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Seoul, Korea (2008) 8. : MobSens: Making Smart Phones Smarter. IEEE Pervasive Computing 8(4), 50–57 (2009) 9. net/ (accessed, June 2010) 10. : Extracting Places From Traces of Locations. ACM SIGMOBILE Mobile Computing and Communications Review 9(3), 58– 68 (2005) 11.

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Analysis of Social Media and Ubiquitous Data: International Workshops MSM 2010, Toronto, Canada, June 13, 2010, and MUSE 2010, Barcelona, Spain, September 20, 2010, Revised Selected Papers by Wolfgang Woerndl, Alexander Manhardt (auth.), Martin Atzmueller, Andreas Hotho, Markus Strohmaier, Alvin Chin (eds.)


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