Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Database sampling"'
Autor:
Thomas Lumley
Publikováno v:
Journal of Computational and Graphical Statistics. 28:1007-1010
In this article, I show how to fit a generalized linear model to N observations on p variables stored in a relational database, using one sampling query and one aggregation query, as long a...
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https://explore.openaire.eu/search/publication?articleId=doi_________::21da9c89d4dc57ec024956a6b49834d1
https://doi.org/10.1080/10618600.2019.1610312
https://doi.org/10.1080/10618600.2019.1610312
A variety of schemes have been proposed in the literature to speed up query processing and analytics by incrementally maintaining a bounded-size uniform sample from a dataset in the presence of a sequence of insertion, deletion, and update transactio
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A83116
https://tud.qucosa.de/api/qucosa%3A83116/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A83116/attachment/ATT-0/
Perhaps the most flexible synopsis of a database is a uniform random sample of the data; such samples are widely used to speed up processing of analytic queries and data-mining tasks, enhance query optimization, and facilitate information integration
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A82220
https://tud.qucosa.de/api/qucosa%3A82220/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A82220/attachment/ATT-0/
Publikováno v:
Wuhan University Journal of Natural Sciences. 15:297-302
In this paper, we present a novel approach utilizing attributes correlation for the sampling task on nonuniform hidden databases. We propose the method of calculating the attributes dependency and construct the sampling template according to the attr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea54ff6adf2cc99423efdd7cbeccaa07
https://doi.org/10.1007/s11859-010-0655-1
https://doi.org/10.1007/s11859-010-0655-1
Autor:
Wei Liu
Publikováno v:
Journal of Software. 19:179-193
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ea510ede641781a204f578128fc653e
https://doi.org/10.3724/sp.j.1001.2008.00179
https://doi.org/10.3724/sp.j.1001.2008.00179
Akademický článek
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Publikováno v:
IRI
peer-reviewed In a wide range of application areas (e.g. data mining, approximate query evaluation, histogram construction), database sampling has proved to be a powerful technique. It is generally used when the computational cost of processing large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca7ce16cc4ffd16fa385c52aa4a3e707
https://doi.org/10.1109/iri.2013.6642466
https://doi.org/10.1109/iri.2013.6642466
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642402845
DEXA (1)
DEXA (1)
peer-reviewed Database sampling has become a popular approach to handle large amounts of data in a wide range of application areas such as data mining or approximate query evaluation. Using database samples is a potential solution when using the enti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46944be5b5c9a049ff9076f0543bdab4
A variety of schemes have been proposed in the literature to speed up query processing and analytics by incrementally maintaining a bounded-size uniform sample from a dataset in the presence of a sequence of insertion, deletion, and update transactio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0eeab73debd78e8fd53f48a824954424
https://tud.qucosa.de/id/qucosa:83116
https://tud.qucosa.de/id/qucosa:83116