Incremental Learning with Accuracy Prediction of Social and Individual Properties from Mobile-Phone Data

@article{Altshuler2012IncrementalLW,
  title={Incremental Learning with Accuracy Prediction of Social and Individual Properties from Mobile-Phone Data},
  author={Yaniv Altshuler and Nadav Aharony and Michael Fire and Yuval Elovici and Alex Pentland},
  journal={2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing},
  year={2012},
  pages={969-974}
}
As truly ubiquitous wearable computers, mobile phones are quickly becoming the primary source for social, behavioral, and environmental sensing and data collection. Today's smart phones are equipped with increasingly more sensors and accessible data types that enable the collection of literally dozens of signals regarding the phone, its user, and their environment. A great deal of research effort in academia and industry is put into mining this data for higher level sense-making, such as… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 18 CITATIONS

Social Network Analysis through Big Data Platform Review

  • 2019 International Conference on Computer and Information Sciences (ICCIS)
  • 2019
VIEW 1 EXCERPT
CITES METHODS

Reality mining based on Social Network Analysis

  • 2015 International Conference on Communication, Information & Computing Technology (ICCICT)
  • 2015
VIEW 1 EXCERPT
CITES BACKGROUND

Campaign Optimization Through Behavioral Modeling and Mobile Network Analysis

  • IEEE Transactions on Computational Social Systems
  • 2014
VIEW 1 EXCERPT
CITES BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 28 REFERENCES

The WEKA data mining software: an update

  • SIGKDD Explorations
  • 2009
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Similar Papers

Loading similar papers…