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Heidelberg, Germany
Apr. 2, 2001 to Apr. 6, 2001
ISBN: 0-7695-1001-9
pp: 0379
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.
Amir Netz, Surajit Chaudhuri, Usama Fayyad, Jeff Bernhardt, "Integrating Data Mining with SQL Databases: OLE DB for Data Mining", ICDE, 2001, 2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013 IEEE 29th International Conference on Data Engineering (ICDE) 2001, pp. 0379, doi:10.1109/ICDE.2001.914850
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