Prospects and challenges for multi-relational data mining

@article{Domingos2003ProspectsAC,
  title={Prospects and challenges for multi-relational data mining},
  author={Pedro M. Domingos},
  journal={SIGKDD Explorations},
  year={2003},
  volume={5},
  pages={80-83}
}
This short paper argues that multi-relational data mining has a key role to play in the growth of KDD, and briefly surveys some of the main drivers, research problems, and opportunities in this emerging field. 
Highly Cited
This paper has 70 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 46 extracted citations

71 Citations

0510'03'06'10'14'18
Citations per Year
Semantic Scholar estimates that this publication has 71 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-2 of 2 references

Mining the Web: Discovering knowledge from hypertext data

JASIST • 2004
View 11 Excerpts
Highly Influenced

Inductive Logic Programming and Knowledge Discovery in Databases

Advances in Knowledge Discovery and Data Mining • 1996
View 11 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…