Crowd Sensing und Social Data Mining mit Mobilen Agenten

Labor und Datenanalyse

PD Stefan Bosse
Universität Bremen - Fachbereich Mathematik und Informatik

Literatur und Referenzen


  1. C. Borcea, M. Talasila, and R. Curtmola, Mobile Crowdsensing. CRC Press, 2017.
  2. M. Migliardi, A. Merlo, and S. A.-H. Baddar, Eds., Adaptive Mobile Computing. Elsevier, 2017.
  3. D. C. Brabham, Crowdsourcing. MIT Press, 2013.
  4. J.-F. Lebraty and K. Lobre-Lebraty, Crowdsourcing - One Step Beyond. JohnWiley & Sons, Inc., 2013.
  5. J. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques, 3rd ed. 2012.
  6. I. Foster, R. Ghani, C. Bureau, F. Kreuter, and J. Lane, Eds., Big data and social science : a practical guide to methods and tools. Taylor & Francis, 2017.
  7. B. Furht and A. Escalante, Handbook of Cloud Computing. Boston, MA: Springer US, 2010.
  8. Z. Yan and D. Chakraborty, Semantics in Mobile Sensing. MORGAN&CLAYPOOL, 2014.
  9. D. Schall, Service-Oriented Crowdsourcing - Architecture, Protocols and Algorithms. Springer, 2012.
  10. M. Wooldridge, An introduction to multiagent systems. John Wiley & Sons, Ltd, 2008/2011.
  11. A. R. Bar and M. Maheswaran, Confidentiality and Integrity in Crowdsourcing Systems. Springer Cham Heidelberg NewYork Dordrecht London, 2014.
  12. F. Xhafa, N. bessis, Inter-cooperative Collective Intelligence: Techniques and Applications, Springer, 2014
  13. A. M. Arsénio and A. M. Arsénio, Internet of Intelligent Things: Bringing Artificial Intelligence into Things and Communication Networks, in Inter-cooperative Collective Intelligence: Techniques and Applications, Springer, 2014.
  14. J. BETHLEHEM, Applied Survey Methods A Statistical Perspective. John Wiley & Sons, 2009.
  15. F. Hou, Y. Pei, and J. Sun, Mobile Crowd Sensing: Incentive Mechanism Design. Springer, 2018.


  1. D. Yang, G. Xue, X. Fang, and J. Tang, Incentive Mechanisms for Crowdsensing: Crowdsourcing with Smartphones, IEEE/ACM Transactions on Networking, vol. 99, 2015.
  2. R. Gaire et al., Crowdsensing and privacy in smart city applications, in Smart Cities, Cybersecurity and Privacy, 2018.
  3. T. Leppänen, J. Á. Lacasia, Y. Tobe, K. Sezaki, and J. Riekki, Mobile crowdsensing with mobile agents, Proc. of th 15th International Conference on Autonomous Agents and Multiagten System (AAMAS), 2016.
  4. O. Alvear, C. T. Calafate, J.-C. Cano, and P. Manzoni, Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues, Sensors, vol. 18, no. 460, 2018.


  1., Map and Reduce - Theory and Implementation, 2007