Implementing data mining algorithms with Microsoft SQL Server

摘要

The OLE DB for DM (Microsoft's object-based technology for sharing information and services across process and machine boundaries focused on database mining applications) specification provides an industry standard for implementation of data mining algorithms aggregated with Microsoft SQL Server 2000. The Simple Naive Bayes classifier is implemented using the OLE DB for DM Resource Kit. Numeric input attributes, multiple prediction trees and incremental classification are considered. All necessary steps to implement this algorithm are explained and discussed. Some results are shown to illustrate the capabilities of the implementation.