![]() Querying: Get more information in plots and summaries. PISSARRO offers a number of interactive tools. These methods can be performed by one self or combined to a pruning sequence. PISSARRO offers different pruning methods, some with statistical background others are easy heuristics. Pruning is a possibility to reduce the possible large number of rules. The Barcharts show the counts.ĭifferent search- and sort-functions are available in PISSARRO. Antecedent and consequence are handled separatly. The Detail-Frame gives an overview of the appearence of each item in rules that are shown in the Ruletable. Barcharts of confidence and support allow to compare different rules easily. The ruletable shows information about every actual rule. The magenta barcharts in the Consequence part show rules of the form (not)X1.(not)Xn -> not Y.Ī list of all selected variables of the dataset and a barchart of their counts is displayed in this graphic. Confidence and support can be recognized as described above. The other blue barcharts show rules like (not)X1.(not)Xn -> Y, where not Xi (instead of Xi) is represented by a magenta area in the Antecedent part at the variable Xi, while Xi is represented by a blue area.Īll possible combinations of the variables in the Antecedent are shown. The area of this barchart is equal to the support, the height represents the confidence of the rule. The specific rule can be found on the right blue barchart. The display is divided into two parts: Consequence on the top and Antecedent below.Ī DoubleDecker-Plot always represents the whole dataset. support of a set of rules.Ī TwoKey-Plot gives an overview of all the rules.įor example a rule with high confidence and support can be found in the upper right corner.Ī DoubleDecker-Plot is a graphical display of a specific rule of the form X1.Xn -> Y. To control quality and quantity of desired rules, minimum support, minimum confidence and a maximum rulelength can be set.Ī TwoKey-Plot is a scatterplot of confidence vs. ![]() Complex structures in real data implicate different algorithms for reasons of performance. Pissarro supports different algorithms for rulecalculation. It supports different interactive tools for displaying, summarizing and analysing these rules. Pissarro is an interactive Data Mining Software to calculate association rules from binary datasets.
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