On Wednesday, March21st, I'll be giving an introductary talk on Data Mining for the Boston Access User's Group.  I was scheduled to do this last month, but I got sick.

Introduction to Data Mining in SQL 2005
Data mining is the act of deriving patterns and trend that exist in your data.  SQL 2005 provides a host of different algorithms that allow you to explore your data for hidden patterns and trends.  Popular uses of data mining models are used to predict future sales, target customers for marketing, examine patterns of navigation through a website, and group products that are likely to be purchased together.

Phil will give an introduction to data mining concepts, an overview of the different algorithms, and how to incorporate the data mining results into your applications.

Phil Denoncourt is a .NET consultant, who over the past 5 years has developed a wide range of .NET applications and has over 20 years experience writing software. He is the leader of the New England C# User Group and has acquired the MCPD, MCTS, MCSD, MCDBA, MCSE, MCAD, MCSA and MCP+SB certifications. When not coding, or spending time with his wife and 5 children, Phil is an avid fan of the Boston Red Sox and New England Patriots.