Data Mining on a small amount of data
Data Mining is usually associated with finding previously unknown patterns in a large amount of data. But also a small amount of data may contain patterns, that are difficult to spot. In order to illustrate this, let’s look at the following situation. A customer with 80 stores wants to understand why some stores perform better than others. This is especially important before setting up new stores. It would be great to estimate the performance of the new store before building it up. This would make it much easier to decide on future store locations. Also, it might be useful for optimizing the performance of the existing stores. In order to find out about this, the customer collects some data per store as shown in the following table:
Tags: data mining