The International Conference on Similarity Search and Applications (SISAP) is an annual forum
for researchers and application developers in the area of similarity data management. It aims
at the technological problems shared by numerous application domains, such as data mining,
information retrieval, computer vision, pattern recognition, computational biology, geography,
biometrics, machine learning, and many others that need similarity searching as a necessary
supporting service.
The SISAP initiative (
www.sisap.org) aims to become a forum to exchange real-world,
challenging and innovative examples of applications, new indexing techniques, common test-beds
and benchmarks, source code and up-to-date literature through its web page, serving the similarity
search community. Traditionally, SISAP puts emphasis on the distance-based searching, but in
general the conference concerns both the effectiveness and efficiency aspects of any similarity
search problem.
The series started in 2008 as a workshop and has developed over the years
into an international conference with
Lecture Notes in Computer Science (LNCS) proceedings.
As in previous editions, a small selection of the best papers presented at the conference will be
recommended for inclusion in a special issue of
Information Systems. In October 2013, SISAP will take place in A Coruna, Spain.
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