. "2014-04-18+02:00"^^ . . "The similarity search is popular in various areas of computing, including multimedia databases, data mining, bioinformatics, etc. For a long time, the database approaches to similarity search assumed the similarity as a metric distance. Due to its properties, metric similarity allows to index a database such that it can be queried efficiently (quickly). However, together with the increasing complexity of data across various domains, there appeared many similarities in recent years that were not metrics (i.e., nonmetrics). The database research, however, is still not aware of the huge potential market for nonmetric similarity search, recognizing just the metric space model.\u00A0This project aims to propose formal models followed by a design of access methods for efficient nonmetric similarity search, that is, search in databases where the similarity is not restricted by the metric postulates. Such a goal would bring an efficient database solution to the domain experts that need to pursue large-scale content-based retrieval tasks in complex databases, like multimedia retrieval, similarity-based data mining, complex pattern matching, classification and prediction in bioinformatics, etc."@en . "The result of this project were several methods in the domain of efficient non-metric similarity search. The goals were fulfilled, resulting in quality publications. Some of the publications are in very high qualilty scientific journals."@en . "2014-12-31+01:00"^^ . . . "http://www.isvav.cz/projectDetail.do?rowId=GAP202/11/0968"^^ . "2015-05-22+02:00"^^ . . . "GAP202/11/0968" . . . . "0"^^ . "V\u00FDsledkem projektu bylo n\u011Bkolik metod v oblasti efektivn\u00EDho nemetrick\u00E9ho vyhled\u00E1v\u00E1n\u00ED. C\u00EDle byly spln\u011Bny, publika\u010Dn\u00ED v\u00FDstupy jsou kvalitn\u00ED. Mezi publikacemi je n\u011Bkolik ve velmi kvalitn\u00EDch \u010Dasopisech. N\u011Bkter\u00E9 publikace v kategorii Jsc, zejm\u00E9na Lecture Notes in Computer Science, by m\u011Bly pat\u0159it sp\u00ED\u0161e do kategorie D."@cs . "1"^^ . "2011-01-01+01:00"^^ . . . "Large-scale Nonmetric Similarity Search in Complex Domains"@en . . . . . "metric nonmetric similarity search database indexing"@en . . . "Podobnostn\u00ED vyhled\u00E1v\u00E1n\u00ED na\u0161lo sv\u00E9 uplatn\u011Bn\u00ED v mnoha oblastech informatiky, jako jsou nap\u0159. multimedi\u00E1ln\u00ED datab\u00E1ze, dolov\u00E1n\u00ED z dat, bioinformatika, atd. Po dlouhou dobu p\u0159edpokl\u00E1dal\u00A0datab\u00E1zov\u00FD v\u00FDzkum\u00A0zjednodu\u0161en\u00FD - metrick\u00FD - model podobnosti. D\u00EDky axiom\u016Fm metriky lze datab\u00E1zi indexovat tak, aby podobnostn\u00ED dotazy mohly b\u00FDt vykon\u00E1ny efektivn\u011B (rychle). V posledn\u00EDch letech se nicm\u00E9n\u011B st\u00E1le v\u00EDce objevuj\u00ED dom\u00E9ny (\u010Dasto mimo informatiku), kde m\u00EDra podobnosti nen\u00ED sv\u00E1z\u00E1na metrick\u00FDmi axiomy, tj. je nemetrikou. Datab\u00E1zov\u00FD v\u00FDzkum zat\u00EDm tento trend nereflektuje a jeho v\u00FDsledky st\u00E1le z\u016Fst\u00E1vaj\u00ED zalo\u017Eeny na p\u0159edpokladu metrick\u00E9ho modelu podobnosti. Tento projekt si klade za c\u00EDl navrhnout form\u00E1ln\u00ED modely a n\u00E1sledn\u011B metody pro efektivn\u00ED nemetrick\u00E9 podobnostn\u00ED vyhled\u00E1v\u00E1n\u00ED, tj. chce metody podobnostn\u00EDho vyhled\u00E1v\u00E1n\u00ED zobecnit odstran\u011Bn\u00EDm po\u017Eadavku na metrickou podobnost. Dosa\u017Een\u00ED tohoto c\u00EDle by p\u0159ineslo u\u017Eitek dom\u00E9nov\u00FDm expert\u016Fm, kte\u0159\u00ED pot\u0159ebuj\u00ED (nebo v budoucnu budou pot\u0159ebovat) prov\u00E1d\u011Bt podobnostn\u00ED vyhled\u00E1v\u00E1n\u00ED v rozs\u00E1hl\u00FDch a slo\u017Eit\u00FDch datab\u00E1z\u00EDch, nap\u0159. multimedi\u00E1ln\u00EDch datab\u00E1z\u00EDch, jako sou\u010D\u00E1st podobnostn\u00EDho dolov\u00E1n\u00ED z dat, slo\u017Eit\u00E9ho vyhled\u00E1v\u00E1n\u00ED vzor\u016F, klasifikaci a predikci v bioinformatice, atd." . "0"^^ . "47"^^ . . "Podobnostn\u00ED nemetrick\u00E9 vyhled\u00E1v\u00E1n\u00ED v rozs\u00E1hl\u00FDch komplexn\u00EDch datab\u00E1z\u00EDch" . "47"^^ .