Searching in metric spaces with user-defined and approximate distances

  title={Searching in metric spaces with user-defined and approximate distances},
  author={Paolo Ciaccia and Marco Patella},
  journal={ACM Trans. Database Syst.},
Novel database applications, such as multimedia, data mining, e-commerce, and many others, make intensive use of similarity queries in order to retrieve the objects that better fit a user request. Since the effectiveness of such queries improves when the user is allowed to personalize the similarity criterion according to which database objects are evaluated and ranked, the development of access methods able to efficiently support user-defined similarity queries becomes a basic requirement. In… CONTINUE READING
Highly Cited
This paper has 106 citations. REVIEW CITATIONS


Publications citing this paper.

107 Citations

Citations per Year
Semantic Scholar estimates that this publication has 107 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…