File:Fig2 Naulaerts BioAndBioInsights2016 10.jpg

Figure 2. Input (left) and output (right) of frequent itemset mining in popular frequent itemset mining implementations. The upper part shows the look and feel of the terminal-based Apriori Borgelt implementation. The output of this tool shows each pattern in turn on each line with the support value as a frequency between brackets. In the middle, a similar figure is shown for the arules package. The arules output is an R data object with the items that make up a pattern in one column and the support in the second column. The bottom of the figure features the input and output of MIME. Note here that the red dots in the upper whitespace indicate the items, which are described by their name and their individual support (between brackets). These items can be dragged and dropped in the larger white area below to modify the mining output.

Naulaerts, S.; Moens, S.; Engelen, K.; Vanden Berghe, W.; Goethals, B.; Laukens, K.; Meysman, P. (2016). "Practical approaches for mining frequent patterns in molecular datasets". Bioinformatics and Biology Insights 10: 37–47. doi:10.4137/BBI.S38419. PMC PMC4856181. PMID 27168722. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4856181. 

2016

Naulaerts, S.; Moens, S.; Engelen, K.; Vanden Berghe, W.; Goethals, B.; Laukens, K.; Meysman, P.

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