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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
, the Internet, and the public, including social media. ... The algorithm provided in  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
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  , authors propose a mobile payment protocol which considers limited connectivity for VANET applications. ...doi:10.20381/ruor-22219 fatcat:ty2qcvktqvcidjzy625jnz7oda