caa a22 4500 463206924 CHVBK 20180405153129.0 cr unu---uuuuu 170326e20070101xx s 000 0 eng 10.1007/s10462-008-9067-4 doi (NATIONALLICENCE)springer-10.1007/s10462-008-9067-4 Knowledge discovery standards [Elektronische Daten] [Sarabjot Anand, Marko Grobelnik, Frank Herrmann, Mark Hornick, Christoph Lingenfelder, Niall Rooney, Dietrich Wettschereck] As knowledge discovery (KD) matures and enters the mainstream, there is an onus on the technology developers to provide the technology in a deployable, embeddable form. This transition from a stand-alone technology, in the control of the knowledgeable few, to a widely accessible and usable technology will require the development of standards. These standards need to be designed to address various aspects of KD ranging from the actual process of applying the technology in a business environment, so as to make the process more transparent and repeatable, through to the representation of knowledge generated and the support for application developers. The large variety of data and model formats that researchers and practitioners have to deal with and the lack of procedural support in KD have prompted a number of standardization efforts in recent years, led by industry and supported by the KD community at large. This paper provides an overview of the most prominent of these standards and highlights how they relate to each other using some example applications of these standards. Springer Science+Business Media B.V., 2008 Knowledge discovery nationallicence Data Mining nationallicence Standards nationallicence CRISP-DM nationallicence PMML nationallicence JDM nationallicence OLE-DB nationallicence Anand Sarabjot Department of Computer Science, University of Warwick, CV4 7AL, Coventry, England, UK aut Grobelnik Marko Jozef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia aut Herrmann Frank School of Computing, The Robert Gordon University, St. Andrew Street, AB25 1HG, Aberdeen, Scotland, UK aut Hornick Mark Oracle Corporation, 10 Van de Graaff Drive, 01803, Burlington, MA, USA aut Lingenfelder Christoph 1101 Kitchawan Road, Route 134, P.O. Box 218, 10562-1301, Yorktown Heights, NY, USA aut Rooney Niall University of Ulster at Jordanstown, Newtownabbey, County Antrin, Northern Ireland aut Wettschereck Dietrich School of Computing, The Robert Gordon University, St. Andrew Street, AB25 1HG, Aberdeen, Scotland, UK aut Artificial Intelligence Review Springer Netherlands 27/1(2007-01-01), 21-56 0269-2821 27:1<21 2007 27 10462 https://doi.org/10.1007/s10462-008-9067-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10462-008-9067-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Anand Sarabjot Department of Computer Science, University of Warwick, CV4 7AL, Coventry, England, UK aut NATIONALLICENCE 700 1- Grobelnik Marko Jozef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia aut NATIONALLICENCE 700 1- Herrmann Frank School of Computing, The Robert Gordon University, St. Andrew Street, AB25 1HG, Aberdeen, Scotland, UK aut NATIONALLICENCE 700 1- Hornick Mark Oracle Corporation, 10 Van de Graaff Drive, 01803, Burlington, MA, USA aut NATIONALLICENCE 700 1- Lingenfelder Christoph 1101 Kitchawan Road, Route 134, P.O. Box 218, 10562-1301, Yorktown Heights, NY, USA aut NATIONALLICENCE 700 1- Rooney Niall University of Ulster at Jordanstown, Newtownabbey, County Antrin, Northern Ireland aut NATIONALLICENCE 700 1- Wettschereck Dietrich School of Computing, The Robert Gordon University, St. Andrew Street, AB25 1HG, Aberdeen, Scotland, UK aut NATIONALLICENCE 773 0- Artificial Intelligence Review Springer Netherlands 27/1(2007-01-01), 21-56 0269-2821 27:1<21 2007 27 10462 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer