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Tensor Completion Algorithms in Big Data Analytics [article]

Qingquan Song, Hancheng Ge, James Caverlee, Xia Hu
2018 arXiv   pre-print
We conclude with a discussion of key challenges and promising research directions in this community for future exploration.  ...  In this survey, we provide a modern overview of recent advances in tensor completion algorithms from the perspective of big data analytics characterized by diverse variety, large volume, and high velocity  ...  (high-quality content producers) in social media in which dataset is constructed as a third-order tensor (user-expert-topic). rough modeling the homogeneous similarities between homogeneous entities (  ... 
arXiv:1711.10105v2 fatcat:onu2bket3na3dmfsmzhc7byqku

Estimating Population Density Distribution from Network-based Mobile Phone Data

Fabio Ricciato, Peter Widhalm, Massimo Craglia, Francesco Pantisano, European Commission
unpublished
, the Internet, and the public, including social media.  ...  The algorithm provided in [6] provides a fast probablistic approach for computing centerpoints.  ...  Appendix A Reference generative model In this appendix we detail the simple generative model underlying the model parameters in the ML estimation procedure developed in §3.6.  ... 
fatcat:l2smkdwspvgpto2lscttbskxaa

Data Analytics-backed Vehicular Crowd-sensing for GPS-less Tracking in Public Transportation [article]

Cem Kaptan, University, My, University, My
2018
The former denotes utilization of sensors that are explicitly deployed and configured for pre-defined sensing tasks whereas the latter exploits opportunistic and participatory sensing paradigms.  ...  To this end, we propose a novel framework, in our initial approach, to emulate the functionality of a sensor by using multiple available soft sensors and machine intelligence algorithms.  ...  In [89] , authors propose a mobile payment protocol which considers limited connectivity for VANET applications.  ... 
doi:10.20381/ruor-22219 fatcat:ty2qcvktqvcidjzy625jnz7oda

Interactive visual analysis of population study data [article]

Paul Klemm, Universitäts- Und Landesbibliothek Sachsen-Anhalt, Martin-Luther Universität
2018
data attributes associated with the spatio-temporal observation space.  ...  Logistic models, as opposed to linear models, do not allow for extracting an R 2 quality-of-fit value.  ... 
doi:10.25673/4439 fatcat:ifxcwooee5fjnc7e5676cvg4sa