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@inproceedings{1545796,
author = {Zezula, Pavel},
address = {Germany},
booktitle = {Proceedings of the 27th Italian Symposium on Advanced Database Systems},
keywords = {Similarity search; metric space; database applications},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Germany},
pages = {1-8},
publisher = {CEUR workshop proceedings},
title = {Similarity Management of Data: The DISA Experience},
url = {http://ceur-ws.org/Vol-2400/paper-01.pdf},
year = {2019}
}
TY - JOUR
ID - 1545796
AU - Zezula, Pavel
PY - 2019
TI - Similarity Management of Data: The DISA Experience
PB - CEUR workshop proceedings
CY - Germany
KW - Similarity search
KW - metric space
KW - database applications
UR - http://ceur-ws.org/Vol-2400/paper-01.pdf
N2 - As the current data is weekly structured or unstructured at all, access to objects is only possible through similarity of the object's salient features or properties. However, the use of similarity searching in numerous potential applications is still a challenge. In the talk, we presnt DISA applications and demostrate them by online prototype implementations.
ER -
ZEZULA, Pavel. Similarity Management of Data: The DISA Experience. Online. In \textit{Proceedings of the 27th Italian Symposium on Advanced Database Systems}. Germany: CEUR workshop proceedings, 2019, p.~1-8. ISSN~1613-0073.
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