Matches in SemOpenAlex for { <https://semopenalex.org/work/W2782909994> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2782909994 abstract "Archivists and records managers would benefit from a greater understanding of the use and effectiveness of various machine learning methods, especially in the related context of electronic discovery. However, the binary classification methods used in advance search techniques in the e-discovery space may or may not prove efficacious where the information task involves sorting records into multiple categories. A survey of the landscape of machine learning methods reveals areas of potential weakness, which in turn serve as a starting point for future research in the computational archives space." @default.
- W2782909994 created "2018-01-26" @default.
- W2782909994 creator A5056528314 @default.
- W2782909994 creator A5062197455 @default.
- W2782909994 date "2017-12-01" @default.
- W2782909994 modified "2023-10-16" @default.
- W2782909994 title "Auto-categorization methods for digital archives" @default.
- W2782909994 cites W105920647 @default.
- W2782909994 cites W1484716074 @default.
- W2782909994 cites W1492250428 @default.
- W2782909994 cites W1512734143 @default.
- W2782909994 cites W1967890081 @default.
- W2782909994 cites W1968106797 @default.
- W2782909994 cites W1969572066 @default.
- W2782909994 cites W1991885828 @default.
- W2782909994 cites W1997028695 @default.
- W2782909994 cites W1999686172 @default.
- W2782909994 cites W2004243755 @default.
- W2782909994 cites W2016589990 @default.
- W2782909994 cites W2021219606 @default.
- W2782909994 cites W2033551051 @default.
- W2782909994 cites W2076118331 @default.
- W2782909994 cites W2082713611 @default.
- W2782909994 cites W2083743018 @default.
- W2782909994 cites W2094934653 @default.
- W2782909994 cites W2101005742 @default.
- W2782909994 cites W2103295343 @default.
- W2782909994 cites W2119710596 @default.
- W2782909994 cites W2124993430 @default.
- W2782909994 cites W2125831996 @default.
- W2782909994 cites W2129252365 @default.
- W2782909994 cites W2132538943 @default.
- W2782909994 cites W2149684865 @default.
- W2782909994 cites W2151819508 @default.
- W2782909994 cites W2153491803 @default.
- W2782909994 cites W2155961949 @default.
- W2782909994 cites W2156909104 @default.
- W2782909994 cites W2159434268 @default.
- W2782909994 cites W2179625238 @default.
- W2782909994 cites W2440833291 @default.
- W2782909994 cites W2489822048 @default.
- W2782909994 cites W2531564265 @default.
- W2782909994 cites W2758691559 @default.
- W2782909994 cites W2911964244 @default.
- W2782909994 cites W3100570787 @default.
- W2782909994 cites W4231936143 @default.
- W2782909994 cites W4236645963 @default.
- W2782909994 doi "https://doi.org/10.1109/bigdata.2017.8258182" @default.
- W2782909994 hasPublicationYear "2017" @default.
- W2782909994 type Work @default.
- W2782909994 sameAs 2782909994 @default.
- W2782909994 citedByCount "7" @default.
- W2782909994 countsByYear W27829099942018 @default.
- W2782909994 countsByYear W27829099942019 @default.
- W2782909994 countsByYear W27829099942020 @default.
- W2782909994 countsByYear W27829099942021 @default.
- W2782909994 countsByYear W27829099942022 @default.
- W2782909994 crossrefType "proceedings-article" @default.
- W2782909994 hasAuthorship W2782909994A5056528314 @default.
- W2782909994 hasAuthorship W2782909994A5062197455 @default.
- W2782909994 hasConcept C154945302 @default.
- W2782909994 hasConcept C23123220 @default.
- W2782909994 hasConcept C41008148 @default.
- W2782909994 hasConcept C94124525 @default.
- W2782909994 hasConceptScore W2782909994C154945302 @default.
- W2782909994 hasConceptScore W2782909994C23123220 @default.
- W2782909994 hasConceptScore W2782909994C41008148 @default.
- W2782909994 hasConceptScore W2782909994C94124525 @default.
- W2782909994 hasLocation W27829099941 @default.
- W2782909994 hasOpenAccess W2782909994 @default.
- W2782909994 hasPrimaryLocation W27829099941 @default.
- W2782909994 hasRelatedWork W2040397200 @default.
- W2782909994 hasRelatedWork W2144190808 @default.
- W2782909994 hasRelatedWork W2325924483 @default.
- W2782909994 hasRelatedWork W2365213443 @default.
- W2782909994 hasRelatedWork W2366644548 @default.
- W2782909994 hasRelatedWork W2376314740 @default.
- W2782909994 hasRelatedWork W2384888906 @default.
- W2782909994 hasRelatedWork W2509430763 @default.
- W2782909994 hasRelatedWork W2888998488 @default.
- W2782909994 hasRelatedWork W3013319096 @default.
- W2782909994 isParatext "false" @default.
- W2782909994 isRetracted "false" @default.
- W2782909994 magId "2782909994" @default.
- W2782909994 workType "article" @default.