Data mining standards initiatives

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Data mining standards initiatives

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Communications of the ACM archive
Volume 45 , Issue 8 (August 2002) table of contents
Evolving data mining into solutions for insights

SPECIAL ISSUE: Evolving data mining into solutions for insights table of contents

Pages: 59 - 61

Year of Publication: 2002

ISSN:0001-0782

Authors

Robert L. Grossman	University of Illinois at Chicago; Two Cultures Group, Chicago.
Mark F. Hornick	Oracle Corp., Burlington, MA.
Gregor Meyer	IBM Corp., San Jose, CA.

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 22, Downloads (12 Months): 217, Citation Count: 6

Additional Information:

abstract references cited by index terms collaborative colleagues peer to peer

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ABSTRACT

Lacking standards for statistical and data mining models, applications cannot leverage the benefits of data mining.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Common Warehouse Metamodel: Data Mining. Object Management Group; see cgi.omg.org/cgi-bin/doclist.pl.
	2	Cross Industry Standard Process for Data Mining (CRISP-DM); see www.crisp-dm.org.
	3	Data Space Transfer Protocol. National Center for Data Mining; see www.ncdm.uic.edu.
	4	Robert Grossman , Marco Mazzucco, DataSpace: A Data Web for the Exploratory Analysis and Mining of Data, Computing in Science and Engineering, v.4 n.4, p.44-51, July 2002 [doi>10.1109/MCISE.2002.1014979 ]
	5	Java Specification Request 73; see jcp.org/jsr/detail/073.jsp.
	6	OLE DB for Data Mining Specification 1.0. Microsoft; see www.microsoft.com/data/oledb/default.htm.
	7	Predictive Model Markup Language (PMML). Data Mining Group, see www.dmg.org.
	8	Semantic Web. World Wide Web Consortium; see www.w3c.org/ 2001/sw.
	9	SQL Server 2000 Analysis Services. Microsoft; see www.microsoft.com/ SQL/techinfo/bi/analysis.asp.
	10	Unified Modeling Language. Object Management Group; see www.uml.org.
	11	Web Services Activity. World Wide Web Consortium; see www. w3c.org/2002/ws.
	12	XML for Analysis (XMLA); see www.xmla.org.

CITED BY 6

	John Chaves , Chris Curry , Robert L. Grossman , David Locke , Steve Vejcik, Augustus: the design and architecture of a PMML-based scoring engine, Proceedings of the 4th international workshop on Data mining standards, services and platforms, p.38-46, August 20-20, 2006, Philadelphia, Pennsylvania
	Robert Grossman, Data mining standards, services, and platforms 2004 (DM-SSP 2004), ACM SIGKDD Explorations Newsletter, v.6 n.2, December 2004
	David Ferrucci , Robert L. Grossman , Anthony Levas, PMML and UIMA based frameworks for deploying analytic applications and services, Proceedings of the 4th international workshop on Data mining standards, services and platforms, p.14-26, August 20-20, 2006, Philadelphia, Pennsylvania
	Ian Foster , Robert L. Grossman, Data integration in a bandwidth-rich world, Communications of the ACM, v.46 n.11, November 2003
	Joseph Bugajski , Robert L. Grossman , Eric Sumner , Zhao Tang, An event based framework for improving information quality that integrates baseline models, causal models and formal reference models, Proceedings of the 2nd international workshop on Information quality in information systems, June 17-17, 2005, Baltimore, Maryland
	Robert L. Grossman , Yunhong Gu , Don Hamelburg , Dave Hanley , Xinwei Hong , Jorge Levera , Dave Lillethun , Marco Mazzucco , Joe Mambretti , Jeremy Weinberger, Experimental studies using photonic data services at IGrid 2002, Future Generation Computer Systems, v.19 n.6, p.945-955, August 2003

INDEX TERMS

Primary Classification:
H. Information Systems
H.2 DATABASE MANAGEMENT
H.2.8 Database applications
Subjects: Data mining

Additional Classification:
D. Software
D.2 SOFTWARE ENGINEERING
D.2.2 Design Tools and Techniques
Subjects: Modules and interfaces

I. Computing Methodologies
I.7 DOCUMENT AND TEXT PROCESSING
I.7.2 Document Preparation

Nouns: XML

General Terms:
Languages, Standardization

Collaborative Colleagues:

Robert L. Grossman: colleagues

Mark F. Hornick: colleagues

Gregor Meyer: colleagues

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