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Integrating Data Mining with SQL Databases: OLE DB for Data Mining
Heidelberg, Germany April 02-April 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDE.2001.91485017th International Conference on Data ...
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Amir Netz, Surajit Chaudhuri, Usama Fayyad, Jeff Bernhardt, "Integrating Data Mining with SQL Databases: OLE DB for Data Mining," Data Engineering, International Conference on, pp. 0379, 17th International Conference on Data Engineering (ICDE'01), 2001.
 
 
BibTex
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@article{ 10.1109/ICDE.2001.914850,
author = {Amir Netz and Surajit Chaudhuri and Usama Fayyad and Jeff Bernhardt},
title = {Integrating Data Mining with SQL Databases: OLE DB for Data Mining},
journal ={Data Engineering, International Conference on},
volume = {0},
year = {2001},
isbn = {0-7695-1001-9},
pages = {0379},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDE.2001.914850},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Engineering, International Conference on
TI - Integrating Data Mining with SQL Databases: OLE DB for Data Mining
SN - 0-7695-1001-9
SP
EP
A1 - Amir Netz,
A1 - Surajit Chaudhuri,
A1 - Usama Fayyad,
A1 - Jeff Bernhardt,
PY - 2001
VL - 0
JA - Data Engineering, International Conference on
ER -
 
Amir Netz, Microsoft Corporation
Surajit Chaudhuri, Microsoft Corporation
Usama Fayyad, Microsoft Corporation
Jeff Bernhardt, Microsoft Corporation
Abstract: The integration of data mining with traditional database systems is key to making it convenient, easy to deploy in real applications, and to growing its user base. In this paper we describe the new API for data mining proposed by Microsoft as extensions to OLE DB standard. We illustrate the basic notions that motivated the API's design and describe the key components of an OLE DB for Data Mining provider. We also include examples of the usage and treat the problems of data representation and integration with the SQL framework. We believe this new API will go a long way in enabling deployment of data mining in enterprise data-warehouses. A reference implementation of a provider is available with the recent release of Microsoft SQL Server 2000 database system.
Citation:
Amir Netz, Surajit Chaudhuri, Usama Fayyad, Jeff Bernhardt, "Integrating Data Mining with SQL Databases: OLE DB for Data Mining," icde, pp.0379, 17th International Conference on Data Engineering (ICDE'01), 2001
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