Management and mining of multiple predictive models using the predictive modeling markup language

Information and Software Technology

Volumn 41, Issue 9, 1999, Pages 589-595

  Grossman, R ^a,b   Bailey, S ^a   Ramu, A ^a   Malhi, B ^a   Hallstrom, P ^b   Pulleyn, I ^b   Qin, Xiao ^b  

^a UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^b Magnify Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SYSTEMS PROGRAMMING; DATA COMMUNICATION SYSTEMS; DISTRIBUTED COMPUTER SYSTEMS; LEARNING SYSTEMS; SGML;

DATA INTERCHANGE FORMATS; DISTRIBUTED LEARNING; ENSEMBLE LEARNING; PARTITIONED LEARNING; PREDICTIVE MODELING MARKUP LANGUAGE (PMML);

DATA MINING;

EID: 0032657921     PISSN: 09505849     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0950-5849(99)00022-1     Document Type: Article

References (17)

1. R. Grossman, Data Mining: the Two Cultures, Magnify Technical Report 98-1, submitted for publication.
2. Fayyad U.M., Piatetsky-Shapiro G., Smyth P. From data mining to knowledge discovery: an overview. Fayyad U.M., Piatetsky-Shapiro G., Smyth P., Uthurusamy R. Advances in Knowledge Discovery and Data Mining. 1996;1 AAAI Press/MIT Press, MA, USA.
3. A.E. Raftery, D. Madigan, Jennifer A. Hoeting, Bayesian Model Averaging for Linear Regression Models, submitted for publication.
4. T. Dietterich, Machine Learning Research: Four Current Directions, in press.
5. Brieman L. Bagging predictors. Machine Learning. 24:(2):1996;123-140.
6. Wolpert D. Stacked generalization. Neural Networks. 5:1992;241-259.
7. Grossman R.L., Bodek H., Northcutt D., Poor H.V. Data mining and tree-based optimization. Simoudis E., Han J., Fayyad U. Proceedings of the Second International Conference on Knowledge Discovery and Data Mining. 1996;323 AAAI Press, Menlo Park, CA.
8. P. Chan, S. Stolfo, Comparative evaluation of voting and meta-learning on partitioned data, Proceedings of the Twelfth International Conference on Machine Learning, 1995, pp. 90-98.
9. W3 XML Spec, Working Draft Specification for XML, 1997. Working Draft Specifications for XML.
10. Bodek H., Grossman R.L., Pulleyn I. Detecting network intrusions through the data mining of network packet data using the ACT algorithm. Mathematical Modeling and Scientific Computing. 8:1997.
11. P. Buneman, S. Davidson, R. Grossman, D. Maier, Interoperating with Non-Database Data, University of Pensylvania Computer Science Department Technical Report, 1995.
12. A. Layman, J. Paoli, S. De Rose, H.S. Thompson, Specification for XML-Data, 1998. Specification for XML-data.
13. Information about XML is available on the Internet, 1998.
14. The Predictive Model Markup Language, Version 0.9, The Data Mining Group, 1998.
15. R. Grossman, Supporting the Data Mining Process with next generation Data Mining Systems, The Enterprise Systems Journal, pp. 52-56, August 1998.
16. Gropp W., Lusk W., Skjellum A. Using MPI: Portable Parallel Programming with the Message-Passing Interface. 1994;MIT Press, Cambridge, MA.
17. R.L. Grossman, S. Kasif, D. Mon, A. Ramu, B. Malhi, The Preliminary Design of Papyrus: A system for high perfromance. Distributed Data Mining over meta-clusters and super-clusters. KDD-99 Workshop on Distributed Data Mining, AAAI, 1998.