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zezula pavel; amato giuseppe; dohnal vlastislav; batko michal - similarity search

Similarity Search The Metric Space Approach

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer US

Pubblicazione: 11/2010
Edizione: Softcover reprint of hardcover 1st ed. 2006





Trama

The area of similarity searching is a very hot topic for both research and c- mercial applications. Current data processing applications use data with c- siderably less structure and much less precise queries than traditional database systems. Examples are multimedia data like images or videos that offer query by example search, product catalogs that provide users with preference based search, scientific data records from observations or experimental analyses such as biochemical and medical data, or XML documents that come from hetero- neous data sources on the Web or in intranets and thus does not exhibit a global schema. Such data can neither be ordered in a canonical manner nor meani- fully searched by precise database queries that would return exact matches. This novel situation is what has given rise to similarity searching, also - ferred to as content based or similarity retrieval. The most general approach to similarity search, still allowing construction of index structures, is modeled in metric space. In this book. Prof. Zezula and his co authors provide the first monograph on this topic, describing its theoretical background as well as the practical search tools of this innovative technology.




Sommario

Metric 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.










Altre Informazioni

ISBN:

9781441939722

Condizione: Nuovo
Collana: Advances in Database Systems
Dimensioni: 235 x 155 mm Ø 454 gr
Formato: Brossura
Pagine Arabe: 220
Pagine Romane: xvii


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