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@book{579741,
author = {Zezula, Pavel and Amato, Giuseppe and Dohnal, Vlastislav and Batko, Michal},
address = {New York, NY 10013, USA},
edition = {2005},
keywords = {similarity search; metric space; index structures; scalability; performance evaluation},
language = {eng},
location = {New York, NY 10013, USA},
isbn = {0-387-29146-6},
publisher = {Springer},
title = {Similarity Search: The Metric Space Approach},
url = {http://www.springeronline.com/sgw/cda/frontpage/0,11855,4-153-22-86706602-detailsPage%253Dppmmedia%257CaboutThisBook%257CaboutThisBook,00.html},
year = {2005}
}
TY - BOOK
ID - 579741
AU - Zezula, Pavel - Amato, Giuseppe - Dohnal, Vlastislav - Batko, Michal
PY - 2005
TI - Similarity Search: The Metric Space Approach
VL - Advances in Database Systems, Vol. 32
PB - Springer
CY - New York, NY 10013, USA
SN - 0387291466
KW - similarity search
KW - metric space
KW - index structures
KW - scalability
KW - performance evaluation
UR - http://www.springeronline.com/sgw/cda/frontpage/0,11855,4-153-22-86706602-detailsPage%253Dppmmedia%257CaboutThisBook%257CaboutThisBook,00.html
N2 - The proliferation of information housed in computerized domains makes it vital to find tools to search these resources efficiently and effectively. Ordinary retrieval techniques are inadequate because sorting is simply impossible. Consequently, proximity searching has become a fundamental computation task in a variety of application areas. Similarity Search focuses on the state of the art in developing index structures for searching the metric space. Part I of the text describes major theoretical principles, and provides an extensive survey of specific techniques for a large range of applications. Part II concentrates on approaches particularly designed for searching in large collections of data. After describing the most popular centralized disk-based metric indexes, approximation techniques are presented as a way to significantly speed up search time at the cost of some imprecision in query results. Finally, the scalable and distributed metric structures are discussed.
ER -
ZEZULA, Pavel, Giuseppe AMATO, Vlastislav DOHNAL a Michal BATKO. \textit{Similarity Search: The Metric Space Approach}. 2005. vyd. New York, NY 10013, USA: Springer, 2005, 220 s. Advances in Database Systems, Vol. 32. ISBN~0-387-29146-6.
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