DocumentCode :
3013003
Title :
Integrating data mining with SQL databases: OLE DB for data mining
Author :
Netz, Amir ; Chaudhuri, Surajit ; Fayyad, Usama ; Bernhardt, Jeff
Author_Institution :
Microsoft Corp., Redmond, WA, USA
fYear :
2001
fDate :
2001
Firstpage :
379
Lastpage :
387
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. We describe the new API for data mining proposed by Microsoft as extensions to the OLE DB standard. We illustrate the basic notions that motivated the API´s design and describe the key components of an OLE DB for the 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
Keywords :
SQL; application program interfaces; data mining; data structures; data warehouses; relational databases; API; Microsoft SQL Server 2000; OLE DB; SQL databases; data mining; data representation; enterprise data warehouses; relational database; standard; Business; Data mining; Data warehouses; Database systems; Delta modulation; File systems; Pattern recognition; Predictive models; Relational databases; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 2001. Proceedings. 17th International Conference on
Conference_Location :
Heidelberg
ISSN :
1063-6382
Print_ISBN :
0-7695-1001-9
Type :
conf
DOI :
10.1109/ICDE.2001.914850
Filename :
914850
Link To Document :
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