Explore your Data: High-dimensional Visualization Methods

The methods of exploratory data analysis are often much simpler than statistical modeling schemes. Nevertheless, in many practical applications the visualization of hight dimensional data is not only the first but also the final solution for the problem at hand. What makes exploratory data mining successful is the fact that the analyst himself is involved in the analysis process. Hence, exploratory data analysis mainly consists of (semi-)graphical descriptions of data and correlations enabling the analyst to search for patterns or grounding principles.

The techniques covered by this webinar are

the visualization of high dimensional data, techniques for getting first insights and hints for further analysis, the calculation of statistical measures, the analysis of distributions and correlations.

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.

• Since the number of participants is limited, we recommend an early registration.
• The webinar is laid out for 90 minutes.
• The webinar will be held in English language.
• The instructors are professional data analysts with years of practical data mining experience with RapidMiner.
• The login details for the webinar will be send three working days before the webinar date. A registration is possible until 4 hours in advance at the latest.