Taking Your Application Design to the Next Level With Data Mining
Data mining as a technology is designed to analyse large volumes of data looking
for patterns that accurately predict behaviour. 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).