Workflows

Find best feature selection method. (1)

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This processes searches for the best method for feature selection and the best feature subset size. Inside a parameter loop the number of selected features and the feature selection methods are evaluated with a 10fold cross-validation. The Feature Selection Extension ( https://sourceforge.net/projects/rm-featselext ) is required. BUGFIX: Please note that the plugin downloaded before 5th November contains a bug. Due to a bug in RM the TopK-operator sorted the features in the wrong direction. ...

Created: 2010-10-19 | Last updated: 2010-12-10

Concatenate Examples (1)

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This process I'm using for preprocessing is concatenating the values of att2 for all the same values of att1 in att3. ps: Thanks to Matthias for his help.

Created: 2010-10-26 | Last updated: 2010-10-26

10x10fold_XV_with_optimizedSVM_classification (1)

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This process performs 10 round of 10fold cross-validation for classification with a linear SVM. In each traning-phase the parameters C of the linear SVM is tuned by a 5fold cross-validation. The repetions are useful for estimating the real performance on a small sample high variance data set, e.g. microarray data.

Created: 2010-10-28

Is Parameter Optimization Useful (1)

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This process compares two 10x10fold cross-validations with linear SVM for classification. One use the heuristic parameter choice C=1/avg(K(x,x)) and the other uses an internal 5fold cross-validation to tune the parameter C. Afterwards both performance values are compared via ANOVA and T-test to check whether there is a significant difference between both performance values. The behaviour of the optimized 10x10 XV is similar to that of the experiment 10x10fold_XV_with_optimizedSVM_classificat...

Created: 2010-10-28 | Last updated: 2010-10-28

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

Trim and Replace White Space (1)

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This process removed leading and trailing white spaces from an attribute and replaces inner white spaces of any type by a single space. Might be useful for text processing (if you are not using tokenization anyway...)

Created: 2011-07-07

RBioconductor Tutorial Process (1)

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This Process illustrates how to create complex Data Analysis processes using R Scripts. In this case the Bioconductor Basic Tutorial is splitted into reusable components.

Created: 2011-01-03

JSI Subgroup Discovery operators (1)

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A simple example of how to use subgroup discovery operators for learning subgroup descriptions and how to test their classification accuracy using cross-validation.

Created: 2011-01-10 | Last updated: 2011-01-10

Count co-occurences in matrix with Aggrega... (1)

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The process counts and shows all combinations of values of two attributes and shows them in a count matrix. The process uses the operators Aggregate and Pivot for this purpose.

Created: 2011-01-15

Fast Correlation Based Filter (FCBF) (1)

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Runs FCBF feature selector and accuracy is estimated using Naive Bayes. Grid Search Optimization is used for parameter optimization.

Created: 2011-07-14 | Last updated: 2011-07-14