Difference between revisions of "File:Fig1 Naulaerts BioAndBioInsights2016 10.png"

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Description	Figure 1. Toy example of frequent itemset mining. The input of a frequent itemset mining approach is a transaction database (shown to the left). The output of the approach is a list of patterns and their support (shown to the right).
Source	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.
Date	2016
Author	Naulaerts, S.; Moens, S.; Engelen, K.; Vanden Berghe, W.; Goethals, B.; Laukens, K.; Meysman, P.
Permission (Reusing this file)	Creative Commons Attribution 3.0 Unported
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 ==Summary==
 {{Information
-|Description='''Figure 1.''' The prototype, seen on the left side, was implemented in Sectra IDS7/px viewer for pathology images.
+|Description='''Figure 1.''' Toy example of frequent itemset mining. The input of a frequent itemset mining approach is a transaction database (shown to the left). The output of the approach is a list of patterns and their support (shown to the right).
 |Source={{cite journal |title=Practical approaches for mining frequent patterns in molecular datasets |journal=Bioinformatics and Biology Insights |author=Naulaerts, S.; Moens, S.; Engelen, K.; Vanden Berghe, W.; Goethals, B.; Laukens, K.; Meysman, P. |volume=10 |pages=37–47 |year=2016 |doi=10.4137/BBI.S38419 |pmid=27168722 |pmc=PMC4856181}}
 |Author=Naulaerts, S.; Moens, S.; Engelen, K.; Vanden Berghe, W.; Goethals, B.; Laukens, K.; Meysman, P.