Taking Your Application Design to the Next Level With Data Mining
Data mining as a technology is designed to analyze large volumes of data looking for
patterns that accurately predict behavior. These patterns can then be used to derive knowledge
about data, and in turn this knowledge can be used to enhance application designs and the user
experience.
In this presentation, Peter Myers will present an overview of SQL Server 2005 Data Mining and will demonstrate
how to develop data mining models that can be embedded into your applications. Demonstrations will be based on SQL Server
2005 Data Mining, using .NET Windows and web development.
This presentation is a must for any developer looking to embed “Artificial Intelligence?into their solution design to take
their applications to the next level. It is guaranteed to thrill you with potential, and excite you with the ease in which it
can be accomplished. Note that there is no requirement that attendees have any data mining background.
Peter Myers is a freelance BI practitioner, trainer and presenter. He has 11 years' experience working
in OLTP database design and development, DBA support and Data Warehousing/Business Intelligence with SQL
Server. Peter has a broad business background supported by a bachelor degree in applied economics,
and he extends this with MCITP, MCSD, MCDBA, MCSE and MCT certifications. Currently he provides mentoring and technical
training locally and internationally, and focuses on delivering training for the SQL Server database engine,
Integration Services (DTS), Analysis Services, Reporting Services, ASP.NET and .NET programming (C# and VB.NET).