Outlying property detection with numerical attributes

@article{Angiulli2016OutlyingPD,
  title={Outlying property detection with numerical attributes},
  author={Fabrizio Angiulli and Fabio Fassetti and Luigi Palopoli and Giuseppe Manco},
  journal={Data Mining and Knowledge Discovery},
  year={2016},
  volume={31},
  pages={134-163}
}
The outlying property detection problem (OPDP) is the problem of discovering the properties distinguishing a given object, known in advance to be an outlier in a database, from the other database objects. This problem has been recently analyzed focusing on categorical attributes only. However, numerical attributes are very relevant and widely used in databases. Therefore, in this paper, we analyze the OPDP within a context where also numerical attributes are taken into account, which represents… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 1 time over the past 90 days. VIEW TWEETS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-10 of 47 references

Identification of high shears and compressive discontinuities in the inner heliosphere

  • GrecoA, S Perri
  • Astrophys J
  • 2014

UCI machine learning repository. University of California, School of Information and Computer

  • M Lichman
  • 2013
2 Excerpts

Discoverying characterizations of the behavior of outlier sub - populations

  • F. Fassetti F. Angiulli, L. Palopoli
  • IEEE Transactions on Knowledge and Data…
  • 2012

Similar Papers

Loading similar papers…