BUSINESS APPLICATIONS OF UNSTRUCTURED.
The article discusses the use of unstructured data applications in business. Unstructured text acquisition and analysis (UTAA) applications were once cost-prohibitive and difficult to use. Legislation regarding organization communications such as the Sarbanes-Oxley Act of 2002 have stressed the secu...
| Publicado en: | Communications of the ACM Vol. 50; no. 10; pp. 86 - 94 |
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| Formato: | Artículo |
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Association for Computing Machinery
Oct2007
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=26803436&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 26803436 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Oct2007 vid: 50 iid: 10 pid: 68 pub: Association for Computing Machinery artinfo: ui: 26803436 10.1145/1290958.1290967 ppf: 86 ppct: 8 formats: tig: atl: BUSINESS APPLICATIONS OF UNSTRUCTURED. aug: au: Kuechler, William L. affil: Associate professor, Department of Accounting & Information Systems, College of Business, University of Nevada, Reno. su: Data security Electronic data processing Text files Application software Records management Computer architecture Latent semantic analysis sug: subj: Data security Electronic data processing Text files Application software Records management Computer architecture Latent semantic analysis ab: The article discusses the use of unstructured data applications in business. Unstructured text acquisition and analysis (UTAA) applications were once cost-prohibitive and difficult to use. Legislation regarding organization communications such as the Sarbanes-Oxley Act of 2002 have stressed the security of private information, requiring the use of UTAA for storage of information. UTAA applications uses a functional architecture emphasizing enterprise document management (EDM), application analytic processing (APP), and a support system for text analysis. Latent semantic analysis (LSA) discovers concepts by processing document words into matrices. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2007 holdings: @attributes: islocal: N |
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