Search results for "rapidminer"

Semantic clustering (with AHC) of SPARQL q... (1)

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The workflow uses RapidMiner extension named RMonto (http://semantic.cs.put.poznan.pl/RMonto/) to perform clustering of SPARQL query results based on chosen semantic similarity measure. The measure used in this particualr workflow is a kernel that exploits membership of clustered individuals to OWL classes from a background ontology ("Common classes" kernel from [1]). Since the semantics of the backgound ontology is used in this way, we use the name "semantic clustering". ...

Created: 2012-01-29 | Last updated: 2012-01-29

Semantic clustering (with alpha-clustering... (1)

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The workflow uses RapidMiner extension named RMonto (http://semantic.cs.put.poznan.pl/RMonto/) to perform clustering of SPARQL query results based on chosen semantic similarity measure. The measure used in this particualr workflow is a kernel that exploits membership of clustered individuals to OWL classes from a background ontology ("Epistemic" kernel from [1]). Since the semantics of the backgound ontology is used in this way, we use the name "semantic clustering". This ...

Created: 2012-01-29 | Last updated: 2012-01-30

Loading OWL files (RDF version of videolec... (1)

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The workflow uses RapidMiner extension named RMonto (http://semantic.cs.put.poznan.pl/RMonto/). Operator "Build knowledge base" is responsible for collecting data either from OWL files or SPARQL endpoints or RDF repositories and provide it to the subsequent operators in a workflow. In this workflow it is parametrized in this way, that is builds a Sesame/OWLIM repository from the files specified in "Load file" operators. Paths to OWL files are specified as parameter va...

Created: 2012-01-29 | Last updated: 2012-01-29

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Experimental user to item score matrix Excel file

Created: 2011-11-26 20:07:02 | Last updated: 2011-11-26 20:07:04

Credits: Matko Bošnjak

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Excel workbook

Comments: 0 | Viewed: 338 times | Downloaded: 211 times

RCOMM Challenge 1: 99 bottles of beer (1)

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At the RComm 2010 (www.rcomm2010.org), an unusual competition was held. Titled "Who Wants to Be a Data Miner", three challenges were issued to the participants of the conference. In all challenges, participants had to design RapidMiner processes as quickly as possible. This is the winning process of Challenge 1: "99 bottles of beer" by Sebastian Land. This was the task: Design a process that produces an example set the rows of which form the lyrics of the well-known song "99 bottles of beer...

Created: 2010-09-17

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Dataset for item recommendation

Created: 2012-01-09 09:46:37

Credits: Ninoaf

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Trident (Package)

Comments: 0 | Viewed: 136 times | Downloaded: 106 times

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Extended Operations for Nominal Values (1)

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This process shows examples for the extended operations for nominal values coming with one of the next RapidMiner updates (5.0.011 or 5.1.000). The operations are performed with the operator "Generate Attributes" and can be used directly within the expressions for the new attributes. The supported functions include Number to String [str(x)], String to Number [parse(text)], Substring [cut(text, start, length)], Concatenation [concat(text1, text2, text3...)], Replace [replace(text, what, by)],...

Created: 2010-10-05

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mansoor khan

Joined: Tuesday 30 November 2010 17:27:40 (UTC)

Last active:Saturday 25 June 2011 12:04:03 (UTC)

Content based recommender (1)

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This process is a special case of the item to item similarity matrix based recommender where the item to item similarity is calculated as cosine similarity over TF-IDF word vectors obtained from the textual analysis over all the available textual data. The inputs to the process are context defined macros: %{id} defines an item ID for which we would like to obtain recommendation and %{recommender_no} defines the required number of recommendations. The process internally uses an example set of...

Created: 2011-03-15 | Last updated: 2011-03-15

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Datasets for the pack: RCOMM2011 recommender systems...

Created: 2011-05-05 21:18:51 | Last updated: 2011-05-06 12:13:22

Credits: Matko Bošnjak Ninoaf

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: ZIP archive

Comments: 0 | Viewed: 773 times | Downloaded: 450 times