Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/13023
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dc.contributor.authorTekić, Željkoen
dc.contributor.authorKukolj, Draganen
dc.contributor.authorNikolic L.en
dc.contributor.authorDrazic M.en
dc.contributor.authorPokric M.en
dc.contributor.authorVitas M.en
dc.contributor.authorPanjkov Z.en
dc.contributor.authorNemet D.en
dc.date.accessioned2020-03-03T14:50:43Z-
dc.date.available2020-03-03T14:50:43Z-
dc.date.issued2012-08-22en
dc.identifier.isbn9789532330724en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/13023-
dc.description.abstractThis paper describes PSALM, a recently developed tool for business intelligence. The tool is based on MySQL database and web robot, both supported by routines developed in Java and PHP. The PSALM assembles patent data from publicly available data bases, it collects and analyses bibliographic parameters of patents but also does text mining. High-dimensional data contained in the patent documents are transformed into much lower dimensionality space (2D or 3D), clustered and visualized. The PSALM functionality and usability is demonstrated on MPEG-2 essential patents' portfolio. © 2012 MIPRO.en
dc.relation.ispartofMIPRO 2012 - 35th International Convention on Information and Communication Technology, Electronics and Microelectronics - Proceedingsen
dc.titlePSALM - Tool for business intelligenceen
dc.typeConference Paperen
dc.identifier.scopus2-s2.0-84865086998en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84865086998en
dc.relation.lastpage1634en
dc.relation.firstpage1629en
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFakultet tehničkih nauka, Departman za računarstvo i automatiku-
crisitem.author.parentorgFakultet tehničkih nauka-
Appears in Collections:FTN Publikacije/Publications
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