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User: Jedrzej Potoniec
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Blob Financial dataset

Created: 2013-04-16 08:25:15 | Last updated: 2013-04-16 08:25:26

License: No license

Financial dataset

File type: RDF data

Comments: 0 | Viewed: 32 times | Downloaded: 17 times

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Blob SWRC: people with assigned research groups

Created: 2013-04-16 08:20:17 | Last updated: 2013-04-16 08:23:49

Credits: User Jedrzej Potoniec

License: Creative Commons Attribution-Share Alike 3.0 Unported License

RapidMiner dataset for task of classifying people to the right research group, to be used with http://www.myexperiment.org/files/912.html

File type: Trident (Package)

Comments: 0 | Viewed: 14 times | Downloaded: 11 times

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Blob SWRC dataset

Created: 2013-04-16 08:12:48

License: No license

November 2006 version, without reasoning performed Bloehdorn, Stephan, and York Sure. "Kernel methods for mining instance data in ontologies." The Semantic Web. Springer Berlin Heidelberg, 2007. 58-71.

File type: RDF data

Comments: 0 | Viewed: 75 times | Downloaded: 2693 times

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Workflow Metamining: Create classifiers (1)

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 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)

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 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)

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 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)

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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)

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 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)

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 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

Pack RapidMiner workflows for paper "Pattern based featur...


Created: 2013-04-16 08:00:13 | Last updated: 2013-05-15 21:12:19

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15 items in this pack

Comments: 0 | Viewed: 52 times | Downloaded: 42 times

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