ZEZULA, Pavel, Michal BATKO and Vlastislav DOHNAL. Indexing Metric Spaces. In Encyclopedia of Database Systems. New York: Springer-Verlag, 2009, p. 1-4. Database Management and Information Retrieval. ISBN 978-0-387-49616-0.
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Basic information
Original name Indexing Metric Spaces
Name in Czech Indexování metrických prostorů
Authors ZEZULA, Pavel (203 Czech Republic), Michal BATKO (203 Czech Republic) and Vlastislav DOHNAL (203 Czech Republic, guarantor).
Edition New York, Encyclopedia of Database Systems, p. 1-4, 4 pp. Database Management and Information Retrieval, 2009.
Publisher Springer-Verlag
Other information
Original language English
Type of outcome Chapter(s) of a specialized book
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/00216224:14330/09:00028427
Organization unit Faculty of Informatics
ISBN 978-0-387-49616-0
Keywords in English metric space; similarity search; index structure; tree organization; hash organization
Tags DISA, hash organization, index structure, Metric Space, similarity search, tree organization
Tags International impact, Reviewed
Changed by Changed by: prof. Ing. Pavel Zezula, CSc., učo 47485. Changed: 6/2/2009 14:06.
Abstract
The Encyclopedia of Databases, a comprehensive work, provides easy access to relevant information on all aspects of very large databases. This encyclopedia features alphabetical organization of concepts covering main areas of very large databases. These 1000 entries offer convenient access to information in the field of databases with definitions and illustrations of basic terminology, concepts, methods, and algorithms, references to literature, and cross-references to other entries and journal articles. Topics for the encyclopedia were selected by a distinguished international advisory board, and written by world class experts in the field. The Encyclopedia of Databases is designed to meet the needs of research scientists, professors and graduate-level students in computer science and engineering. This encyclopedia is also suitable for practitioners in industry.
Abstract (in Czech)
The Encyclopedia of Databases, a comprehensive work, provides easy access to relevant information on all aspects of very large databases. This encyclopedia features alphabetical organization of concepts covering main areas of very large databases. These 1000 entries offer convenient access to information in the field of databases with definitions and illustrations of basic terminology, concepts, methods, and algorithms, references to literature, and cross-references to other entries and journal articles. Topics for the encyclopedia were selected by a distinguished international advisory board, and written by world class experts in the field. The Encyclopedia of Databases is designed to meet the needs of research scientists, professors and graduate-level students in computer science and engineering. This encyclopedia is also suitable for practitioners in industry.
Links
GP201/07/P240, research and development projectName: Distribuované indexační struktury pro podobnostní hledání
Investor: Czech Science Foundation, Distributed Index Structures for Similarity Searching
GP201/08/P507, research and development projectName: Komplexní podobnostní dotazy nad rozsáhlými objemy dat
Investor: Czech Science Foundation, Complex similarity searching in very large data collections
1ET100300419, research and development projectName: Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu
Investor: Academy of Sciences of the Czech Republic, Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)
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