000			03449nam a22005655i 4500
001			978-0-387-29151-2
003			DE-He213
005			20161121230517.0
007			cr nn 008mamaa
008			100301s2006 xxu| s |||| 0|eng d
020			_a9780387291512 _9978-0-387-29151-2
024	7		_a10.1007/0-387-29151-2 _2doi
050		4	_aQA76.9.D3
072		7	_aUN _2bicssc
072		7	_aUMT _2bicssc
072		7	_aCOM021000 _2bisacsh
082	0	4	_a005.74 _223
100	1		_aZezula, Pavel. _eauthor.
245	1	0	_aSimilarity Search The Metric Space Approach _h[electronic resource] / _cby Pavel Zezula, Giuseppe Amato, Vlastislav Dohnal, Michal Batko.
264		1	_aBoston, MA : _bSpringer US, _c2006.
300			_aXVII, 220 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aAdvances in Database Systems, _x1386-2944 ; _v32
505	0		_aMetric Searching in a Nutshell -- Foundations of Metric Space Searching -- Survey of Existing Approaches -- Metric Searching in Large Collections of Data -- Centralized Index Structures -- Approximate Similarity Search -- Parallel and Distributed Indexes.
520			_aIn the Information Society, information holds the master key to economic influence. Similarity Search: The Metric Space Approach will focus on efficient ways to locate user-relevant information in collections of objects, the similarity of which is quantified using a pairwise distance measure. This book is a direct response to recent advances in computing, communications and storage which have led to the current flood of digital libraries, data warehouses and the limitless heterogeneity of internet resources. Similarity Search: The Metric Space Approach will introduce state-of-the-art in developing index structures for searching complex data modeled as instances of a metric space. This book consists of two parts. Part 1 presents the metric search approach in a nutshell by defining the problem, describes major theoretical principals, and provides an extensive survey of specific techniques for a large range of applications. Part 2 concentrates on approaches particularly designed for searching in very large collections of data. Similarity Search: The Metric Space Approach is designed for a professional audience, composed of academic researchers as well as practitioners in industry. This book is also suitable as introductory material for graduate-level students in computer science.
650		0	_aComputer science.
650		0	_aData structures (Computer science).
650		0	_aFile organization (Computer science).
650		0	_aDatabase management.
650		0	_aInformation storage and retrieval.
650	1	4	_aComputer Science.
650	2	4	_aDatabase Management.
650	2	4	_aData Storage Representation.
650	2	4	_aData Structures.
650	2	4	_aInformation Storage and Retrieval.
650	2	4	_aFiles.
700	1		_aAmato, Giuseppe. _eauthor.
700	1		_aDohnal, Vlastislav. _eauthor.
700	1		_aBatko, Michal. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387291468
830		0	_aAdvances in Database Systems, _x1386-2944 ; _v32
856	4	0	_uhttp://dx.doi.org/10.1007/0-387-29151-2
912			_aZDB-2-SCS
950			_aComputer Science (Springer-11645)
999			_c499864 _d499864