No coin nor oath required. For personal study only.
Microsoft SQL Server Analysis Services 2000 Service Pack 1 allows the plugging in ("aggregation") of third-party OLE DB for Data Mining providers on AnalysisServer. Because this aggregation is at the OLE DB level, third-party algorithm developers using SQL Server 2000 SP1 have to implement all the data handling,parsing, metadata management, session, and rowset production code on top of the core data mining algorithm implementation.By contrast, SQL Server 2005 Data Mining allows aggregation directly at the algorithm level. Although this restricts what the third-party algorithm developercan support in terms of language and data types, it frees the developer from implementing all the additional layers described above. It also allows for muchdeeper integration with Analysis Services, including the ability to build OLAP mining models and data mining dimensions. We use the term "plug-in algorithms" todescribe third-party algorithms that plug into the SQL Server 2005 Analysis Server (hereafter referred to as "Analysis Server") and appear, in all respects, likenative algorithms to users.Describes how SQL Server 2005 Data Mining allows aggregation directly at the algorithm level. Although this restricts what the third-party algorithmdeveloper can support in terms of language and data types, it frees the developer from having to implement data handling, parsing, metadata management,session, and rowset production code on top of the core data mining algorithm implementation.
๐ SIMILAR VOLUMES
Your in-depth guide to using the new Microsoft(r) data mining standard to solve today's business problemsConcealed inside your data warehouse and data marts is a wealth of valuable information just waiting to be discovered. All you need are the right tools to extract that information and put it to u
Your organizational database is only as good as the strategic data you can extract from it. Do customers who buy breakfast cereal typically buy bananas as well? Is there a correlation between rainfall in a particular region and the prevalence of a particular illness there? Data Mining with Microsoft
- Getting information from enterprise data- Using BI across the enterprise as an integral part of doing business- Capture and model all of your data- Integration with business processes- Relational reporting and OLAP converged through a single dimensional model
Microsoft supplies several great tools that allow us to create a complete data mining solution. The purpose of this book is to demonstrate how to apply these tools to the data mining process.