In October 2008, Rapid-I will provide training courses on data mining and several data mining applications in San Francisco as well as in New York city. Between October 20th, 2008 and October 24th, 2008, five different one-day courses on data mining in general, on data mining for customer relationship management, sales, and marketing, on text mining, on web mining and sentiment analysis, and on data mining for developers of intelligent software solutions will be provided in San Francisco.

Special offer: Book four days and get one day free!

Compact introduction into the foundations of data mining. Due to a high number of practical exercises, the participants will be able to transfer the gained knowledge to own data mining problems and solve them quickly and easily. Topics incluide methods like Decision Trees, Rule Learning, and Neural Networks as well as basic preprocessing techniques and a discussion of the most important explorative analysis metdods.

Demonstrates how data mining can be employed to maximize the gain achieved through marketing. Customer data will be analyized and leads to models describing your customers which can be exploited to better target your marketing activities. This course also describes the practical steps which are necessary to create such models with the software RapidMiner. Topics include up- and cross-selling, Market Basket Analysis, product recommendations, personalization, and Customer Relationship Management (CRM).

Prerequisite: course on October 20th or equivalent knowledge

Introduction into knowledge discovery from unstructured data like text documents. It focuses on the necessary preprocessing steps and the most successful methods for automatic text classification (including Naive Bayes and Support Vector Machines, SVM) and text clustering. Many practical exercises for different settings (for example e-mail spam detection, automatical e-mail routing, adaptive personal news filtering, among others) will enable the participants to transfer the gained knowledge to own text mining problems.

Prerequisite: course on October 20th or equivalent knowledge

Shows how you could know what your customers and potential customers think about your products in a very timely fashion from information provided by them and are freely available in the web. This course enables you to quickly build mash-ups to extract and integrate information from various sources on the web and to automatically crawl and categorize web pages using the latest text mining technologies.

Prerequisite: courses on October 20th and on October 22nd or equivalent knowledge

Aims at software developers and analysts with background knowledge in development. Gives a step-by-step introduction showing how new methods and operators can be integrated into the data mining solution RapidMiner. The second part of this course deals with the integration of RapidMiner into other software products as a data mining engine This allows, for example, the application of learned models with one simple click for non-analysts or the addition of adaptive behavior to your products. All necessary steps will be discussed at hand of a simple but complete integration example.

Prerequisite: courses on October 20th or equivalent knowledge plus basic skills in programming with Java