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CLUO: web-scale text mining system for open source intelligence purposes

creativeworkseries.issn1508-2806
dc.contributor.authorMaciołek, Przemysław
dc.contributor.authorDobrowolski, Grzegorz
dc.date.available2017-09-19T07:12:27Z
dc.date.issued2013
dc.descriptionBibliogr. s. 61-62.
dc.description.abstractThe amount of textual information published on the Internet is considered to be in billions of web pages, blog posts, comments, social media updates and others. Analyzing such quantities of data requires high level of distribution – both data and computing. This is especially true in case of complex algorithms, often used in text mining tasks. The paper presents a prototype implementation of CLUO – an Open Source Intelligence (OSINT) system, which extracts and analyzes significant quantities of openly available information.en
dc.description.placeOfPublicationKraków
dc.description.versionwersja wydawniczapl
dc.identifier.doihttps://doi.org/10.7494/csci.2013.14.1.45
dc.identifier.eissn2300-7036
dc.identifier.issn1508-2806
dc.identifier.nukatdd2013319077pl
dc.identifier.urihttps://repo.agh.edu.pl/handle/AGH/49097
dc.language.isoeng
dc.publisherWydawnictwa AGH
dc.relation.ispartofComputer Science
dc.rightsAttribution 4.0 International
dc.rights.accessotwarty dostęp
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcode
dc.subjecttext miningen
dc.subjectBig Dataen
dc.subjectOSINTen
dc.subjectNatural Language Processingen
dc.subjectmonitoringen
dc.titleCLUO: web-scale text mining system for open source intelligence purposesen
dc.title.relatedComputer Science
dc.typeartykuł
dspace.entity.typePublication
publicationissue.issueNumberNo. 1
publicationissue.paginationpp. 45-62
publicationvolume.volumeNumberVol. 14
relation.isAuthorOfPublication31e23f67-693e-4984-a101-bdb0884d12a4
relation.isAuthorOfPublication.latestForDiscovery31e23f67-693e-4984-a101-bdb0884d12a4
relation.isJournalIssueOfPublication51eb46ff-e8a6-4799-aec8-9382409e25bc
relation.isJournalIssueOfPublication.latestForDiscovery51eb46ff-e8a6-4799-aec8-9382409e25bc
relation.isJournalOfPublication020291ee-249b-4dcf-98a3-276a2f7981aa

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