Jedrzej Potoniec's Workflows

Search filter terms
Filter by type
Filter by licence
Results per page:
Sort by:
Showing 18 results. Use the filters on the left and the search box below to refine the results.

Workflow Metamining: Create classifiers (1)

Thumb
 Uses mined patterns to learn rule model for metamining purposes.

Created: 2012-11-06 | Last updated: 2012-11-06

Workflow Split data for cross-validation (1)

Thumb
 Splits given dataset into 10 folds almost equal in size using stratified sampling.

Created: 2012-11-06 | Last updated: 2012-11-06

Workflow Metamining: mine patterns (1)

Thumb
 Workflow to be used for mining patterns with Fr-ONT-Qu in dataset using DMOP vocabulary.

Created: 2012-11-06 | Last updated: 2012-11-06

Workflow Evaluating semantic kernel with k-NN class... (1)

Thumb
This workflow uses k-NN classifier to evaluate quality of EL++ Convolution Kernel [1]. As a dataset one of the examples from DL-Learner project [2] is used. After preparing knowledge base with "Build Knowledge Base", the item to item distance matrix is computed with "Calculate Gram/Distance Matrix". Such a matrix is then used as an input to 10-fold cross-validation with k-NN as an classifier and average result is delivered. [1] L. Józefowski, A. Lawrynowicz, J...

Created: 2012-05-30 | Last updated: 2012-06-07

Workflow Semantic clustering with k-Medoids and ALC... (1)

Thumb
 This workflow loads data from a configuration file for DL-Learner (http://dl-learner.org) and uses ALCN Semantic Kernel [1] to cluster those data with k-Medoids algorithm. [1] N. Fanizzi, C. d’Amato, F. Esposito. Learning with Kernels in Description Logics. ILP 2008  

Created: 2012-05-30 | Last updated: 2012-06-07

Workflow Clustering data from DBpedia using AHC (1)

Thumb
 This workflow uses Aglomerative Hierarchical Clustering algorithm to build hierarchy of clusters on data downloaded from DBpedia, the semantic version of Wikipedia. RDF data are downloaded from SPARQL endpoint and merged with DBpedia ontology by "Build Knowledge Base". Set of items to cluster is selected with "SPARQL Selector" and later they are clustered by "Agglomerative Hierarchical Clustering" with distance measure induced by the Bloehdorn Kernel [1]. ...

Created: 2012-05-30 | Last updated: 2012-06-07

Workflow Financial: generate (1)

Thumb
No description

Created: 2013-04-16

Workflow Financial: learn (1)

Thumb
No description

Created: 2013-04-16

Workflow MetaMining: McNemar's Test (1)

Thumb
No description

Created: 2013-04-16

Workflow MetaMining: learn (1)

Thumb
No description

Created: 2013-04-16

Results per page:
Sort by: