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Type: RapidMiner

User: Adam Woznica

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RapidMiner

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Adam Woznica

Feature selection with background knowledge (1)

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Sample workflow that exploits background knowledge in the form of links connecting attributes in the different measurement data. The input data is assumed to be labeled and consists of different interconnected biological levels. Additionally a number of files defining links between attributes in the different measurement data are provided. This data was used in the KUP data mining challenge (http://tunedit.org/challenge/ON). Here we focus on two biological levels: protein data measured by ...

Created: 2011-05-25 | Last updated: 2011-05-25

RapidMiner

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Adam Woznica

Frequent Itemset and association rules ana... (1)

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Generates frequent itemsets and association rules from the gene data. Frequent itemsets correspond to different gene characteristics (locations and functions) that frequently occur together across different genes. The quality of a frequent itemset is given by its support which is the fraction of genes for which a given combination of gene characteristics hold; the longer the itemset the lower its support. Based on the frequent itemset this WF also generates association rules which have some...