A datamining component is included in microsoftsqlserver 2000 and sqlserver 2005, one of the most popular DBMSs. This gives a push for datamining technologies to move from a niche towards the mainstream. Apart fr...
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A datamining component is included in microsoftsqlserver 2000 and sqlserver 2005, one of the most popular DBMSs. This gives a push for datamining technologies to move from a niche towards the mainstream. Apart from a few algorithms, the main contribution of sqlserverdatamining is the implementation of OLE DB for datamining. OLE DB for datamining is an industrial standard led by microsoft and supported by a number of ISVs. It leverages two existing relational technologies: sql and OLE DB. It defines a sql language for datamining based on a relational concept. More recently, microsoft, Hyperion, SAS and a few other BI vendors formed the XML for Analysis Council. XML for Analysis covers both OLAP and datamining. The goal is to allow consumer applications to query various BI packages from different platforms. This paper gives an overview of OLE DB for datamining and XML for Analysis. It also shows how to build datamining application using these APIs.
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