Database Reference
In-Depth Information
[43] Kohonen, T., Self-Organisation and Associative Memory , Springer-Verlag, (Berlin)
Springer Series in Information Sciences 8, 1989.
[44] Kurgan, L., Cios, K. J., Tadeusiewicz, R., Ogiela, M., and Goodenday, L. S.,
Knowledge discovery approach to automated cardiac SPECT diagnosis, Artificial
Intelligence in Medicine , 23:2, pp. 149-69, 2001.
[45] Kurgan, L., Cios, K. J., and Trombley, M., The WWW based data mining toolbox
architecture, Proceedings of the 6th International Conference on Neural Networks
and Soft Computing , pp. 855-60, Zakopane, Poland, 2002.
[46] Kurgan, L., & Cios, K., Meta Mining Architecture for Supervised Learning,
Proceedings of the 7th International Workshop on High Performance and
Distributed Mining , in conjunction with the 4th International SIAM Conference on
Data Mining , pp. 18-26, Lake Buena Vista, FL, 2004.
[47] Kurgan, L., Cios, K. J., Sontag, M., and Accurso, F. J., Mining a cystic fibrosis
database, in: Zurada, J., and Kantardzic, M. (eds.), Novel Applications in Data
Mining , IEEE Press, in print 2004.
[48] Kurgan, L., Meta Mining System for Supervised Learning , Ph.D. dissertation,
University of Colorado at Boulder, Department of Computer Science, 2003.
[49] McHugh, J., Abiteboul, S., Goldman, R., Quass, D., and Widom, J., Lore: A
database management system for semistructured data, SIGMOD Record , 26:3,
pp.54-66, 1997.
[50] Native XML DBMS, http://www.rpbourret.com/xml/XMLDatabaseProds.htm ,
2001.
[51] OLE DB for Data Mining Specification , version 1.0, Microsoft Corporation,
http://www.microsoft.com/data/oledb/dm.htm , July 2000.
[52] Oracle Data Mining Suite, Oracle Darwin ® , http://technet.oracle.com/
products/datamining/htdocs/datasheet.htm , 2001.
[53] Pazzani, M. J., Knowledge discovery from data? IEEE Intelligent Systems , pp.10-3,
March/April 2000.
[54] Piatesky-Shapiro, G., Knowledge discovery in real databases: A report on the
IJCAI-89 Workshop, AI Magazine , 11:5, pp. 68-70, Jan. 1991.
[55] Piatetsky-Shapiro, G., and Frawley, W., (eds), Knowledge Discovery in Databases ,
AAAI/MIT Press, 1991.
[56] PMML , 2nd Annual Workshop on the Predictive Model Markup Language , San
Francisco, CA, August 2001.
[57] Redman, T. C., The impact of poor data quality on the typical enterprise,
Communications of the ACM, 41:2, pp.79-81, 1998.
[58] Rennhackkamp,
M.,
IBM's
intelligent
family,
DBMS
Magazine ,
http://www.dbmsmag.com/9808d17.html , August 1998.
[59] Reinschmidt, J., Gottschalk, H., Kim, H., and Zwietering, D., Intelligent Miner for
Data: Enhance Your Business Intelligence , IBM International Technical Support
Organization (IBM Redbooks), IBM Corporation, 1999.
[60] Robie, J., Lapp J., and Schach D., XML query language (XQL), The Query
Search WWH ::




Custom Search