How Distributed Data Mining Tasks can Thrive as Knowledge Services.
The article presents a model of Web 2.0-based information services and knowledge management, focusing on distributed data mining and computational grids. An example of an open service framework for grid-oriented data mining is presented, which includes mobile download applications. Four levels of da...
| Publicado en: | Communications of the ACM Vol. 53; no. 7; pp. 132 - 138 |
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| Autores principales: | , |
| Formato: | Artículo |
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Association for Computing Machinery
Jul2010
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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=51912822&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 51912822 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Jul2010 vid: 53 iid: 7 pid: 68 pub: Association for Computing Machinery artinfo: ui: 51912822 10.1145/1785414.1785451 ppf: 132 ppct: 6 formats: tig: atl: How Distributed Data Mining Tasks can Thrive as Knowledge Services. aug: au: TALIA, DOMENICO TRUNFIO, PAOLO affil: Professor of computer engineering, University of Calabria, Italy. Assistant professor of computer engineering, University of Calabria, Italy. su: Data mining Grid computing Cell phone downloading Distributed computing Knowledge management Information services sug: subj: Data mining Grid computing Cell phone downloading Distributed computing Knowledge management Information services ab: The article presents a model of Web 2.0-based information services and knowledge management, focusing on distributed data mining and computational grids. An example of an open service framework for grid-oriented data mining is presented, which includes mobile download applications. Four levels of data mining tasks are delineated and various methods suitable for each level are described. The usefulness of such services is discussed in terms of the semantic web, peer-to-peer systems, cloud computing, knowledge discovery tools, and ambient intelligence computer architectures. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2010 holdings: @attributes: islocal: N |
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