Original title: Metody vyhledávání v rozsáhlých kolekcích dat
Translated title: Methods of Searching in Large Dat Sets
Authors: Húsek, Dušan ; Pokorný, J. ; Snášel, V. ; Řezanková, H.
Document type: Papers
Conference/Event: DATAKON 2003, Brno (CZ), 2003-10-18 / 2003-10-20
Year: 2003
Language: cze
Abstract: [cze] [eng]
Tutoriál by měl podat přehled o současných formálních metodách používaných v oblasti vyhledávání informací (Information Retrieval) se zaměřením na rozsáhlé kolekce dat. The lecture digest present formal methods used in the area of information retrieval intent on large data collections. Data collections have increased rapidly in last decade so new methods based on statistics, linear algebra, neural network etc. can be used. Generally, we can image processing a large data collection placed in the highly dimensional space. The most important point during processing these data appears reduction of dimensionality.
Keywords: dimensionality reduction; document retrieval systems; large data collections; LSI; neural networks; vector model
Project no.: AV0Z1030915 (CEP), GA201/01/1192 (CEP)
Funding provider: GA ČR
Host item entry: Datakon 2003, ISBN 80-210-3215-4

Institution: Institute of Computer Science AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0125379

Permalink: http://www.nusl.cz/ntk/nusl-34136


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Research > Institutes ASCR > Institute of Computer Science
Conference materials > Papers