The 2n tutorial in the beginner’s series on datamining in SQL Server. In this tutorial, clients are classified into logical clusters by means of a classification algorithm. The method used in this tutorial for creating customer profiles is called “unsupervised clustering”.

The Web Bot Project, developed in the late 1990’s, was created to assist in making stock market predictions. The technology uses a system of spiders or webbots to crawl the Internet and search for keywords, much like a search engine does. When a keyword is located, the bot program takes a snapshot of the text preceding and following the keyword. This snapshot of text is sent to a central location where it is then filtered, integrated and analysed with intelligent algorithms. The Webbot project is aimed at tapping into the “collective unconscious” of mankind by means of intelligence-based processing. It’s therefore an interesting experiment for those interested in AI.

This is the 1st tutorial in the series on Datamining with Microsoft SQL Server. In this presentation we will explain some basics in intelligence-based systems and datamining needed to follow the upcoming tutorials.