This set of tutorials will guide you step by step through the main data analysis and data mining tasks.
The following tutorials explain the Data Mining process in AdvancedMiner:
Quick Start Tutorial: how to set up the system, create the first project and load a dataset.
Data Exploration Tutorial: how to use the tools for exploratory analysis.
Model Building Tutorial: how to create a Data Mining model.
Model Testing Tutorial: how to test an existing Data Mining model using testing data.
Model Application Tutorial: how to apply an existing Data Mining model to new data.
Manual Scoring Card Building Guide: how to build a scoring card using expert knowladge only.
Scoring Card Building With Model Guide: how to build a scoring card based on a logistic regression model.
Table 2.1. Tutorials overview
| Tutorial: | Quick Start Tutorial | Data Exploration Tutorial | Model Building Tutorial | Model Testing Tutorial | Model Applying Tutorial | Manual Scoring Card Building Guide | Scoring Card Building With Model Guide |
| Approximate duration: | 1 hour | 2 hours | 1 hour | 15 minutes | 15 minutes | 15 min | 30 min |
| Input: | Freshly installed AdvancedMiner | Dataset | Dataset (for training) | Data mining model Dataset (for testing) | Data mining model Dataset (without scoring information) | Dataset (for training) | Dataset (for training) |
| Output: | AdvancedMiner ready to work | Dataset (processed) Reports on data exploration | Data mining model | Data mining model quality assessment | Dataset (with scoring information) | Scoring Card | Scoring Card Logistic regression model |
Apart from the tutorials listed above, an extensive description of all AdvancedMiner tools and features is available in the user documentation and other complementary materials.
The tutorials do not explain any Data Mining related theory. It is assumed the user is already familiar with Data Mining process and algorithms.