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@article{901489, author = {Dohnal, Vlastislav and Zezula, Pavel}, article_location = {New York, USA}, article_number = {2}, keywords = {similarity searching; real-life performance; metric space}, language = {eng}, issn = {1946-7729}, journal = {SIGSPATIAL Special}, title = {Real-life performance of metric searching}, url = {http://portal.acm.org/citation.cfm?id=1862421&jmp=references&coll=portal&dl=GUIDE&CFID=104917642&CFTOKEN=26274662#}, volume = {2}, year = {2010} }
TY - JOUR ID - 901489 AU - Dohnal, Vlastislav - Zezula, Pavel PY - 2010 TI - Real-life performance of metric searching JF - SIGSPATIAL Special VL - 2 IS - 2 SP - 28-31 EP - 28-31 PB - ACM SN - 19467729 KW - similarity searching KW - real-life performance KW - metric space UR - http://portal.acm.org/citation.cfm?id=1862421&jmp=references&coll=portal&dl=GUIDE&CFID=104917642&CFTOKEN=26274662# N2 - Similarity is a central notion throughout human lives and it will soon become the prevalent strategy for dealing with digital content also in computer systems. But the exponential growth of data makes the scalability and performance issues serious matters of concern. Contemporary decentralized media of mass communication allowing cooperative and collaborative practices enable users autonomously contribute to production of global media, whose elements are in fact related by numerous multi-facet links of similarity. As an example, consider the sites like Flickr, YouTube, or Facebook that host user-contributed heterogeneous content for a variety of events. Accordingly, the core ability of future data processing systems is the similarity management of large and ever growing volumes of data. In a simplified way, the real-life performance can be constrained from two points of view: (1) the query response time, and (2) the query execution throughput, i.e. the number of queries processed per a unit of time. ER -
DOHNAL, Vlastislav and Pavel ZEZULA. Real-life performance of metric searching. \textit{SIGSPATIAL Special}. New York, USA: ACM, 2010, vol.~2, No~2, p.~28-31. ISSN~1946-7729.
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