For example, row 4 represents an exception or may be an error . This row has the only blue box, while all other boxes are red. This exception becomes more interesting if we have 1000 red boxes and just 1 blue box. Just the presentation. The following two statements represent the same pattern.
Most Boxes are Red.
We find that using rules is more oriented to condition-action situations like in expert and prediction systems. While using facts is more suited to making observations and analysis which is typical of Knowledge Discovery and Data Mining applications. In an expert system, prediction system or database compression situations, the designer should be interested in all the patterns that represent the database. This allows the system to make more predictions. In Data Mining, however, we are searching for useful information that is hidden in the database.