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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 and Michal BATKO. \textit{Similarity Search: The Metric Space Approach}. 2005th ed. New York, NY 10013, USA: Springer, 2005, 220 pp. Advances in Database Systems, Vol. 32. ISBN~0-387-29146-6.
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