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).