Big Data – Data Mining © Siemens Stiftung 2019 CC BY-SA 4.0 international

Big Data – Data Mining


Information module:
This graphic shows typical analysis methods of data mining such as clustering, association analysis, and regression analysis based on an animation, an explanatory text, and an example.

English, German, Spanish (CREA)
Interactive (1.7 MByte)
The animations visualize the analysis methods of clustering (identify similarities and form groups), association analysis (establish dependencies of characteristics and rules by analyzing shopping behavior), and regression analysis (determine correlations from available data by drawing a trend line in a linear regression). An example can be displayed for each data mining analysis method.

Information and ideas:
A trend line is drawn through the accumulation of data points in a linear regression and enables a prediction of the development of the circumstance being examined. In the animation, various possible trend lines are drawn, and the best possible trend line is selected at the end (the most points with the shortest possible distance to the line).
Information sheet
Information and Communication Technology (ICT); Technology
Grade 7 to 9; Grade 10 to 13
Middle/high school; Vocational training
Analytical geometry; Computer technology; Data processing; Data protection; Internet; Probability (mathematics); Statistics
Siemens Stiftung Media Portal
MediaHouse GmbH using material from: Erfurth Kluger Infografiken GbR and
© Siemens Stiftung 2019
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