All content

Model testing workflow (1)

• Download

This workflow measures performance of three models. Model learned on train data and upgraded using online model updates. Model learned on train data + all query update sets. Model learned on train data only.

Created: 2012-01-29

Credits: Matej Mihelčić

Model saving workflow (1)

• Download

This workflow trains and saves a model for a selected item recommendation operator.

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

Credits: Matej Mihelčić

Recommender workflow (1)

• Download

This is a main online update experimentation workflow. It consists of three Execute Process operators. First operator executes model training workflow. Second operator executes online updates workflow for multiple query update sets. The last operator executes performance testing and comparison workflow. Final performance results are saved in an Excel file.

Created: 2012-01-29

Credits: Matej Mihelčić

View Download

Digital Multimedia Repositories Ontology (DMRO) and ...

Created: 2012-01-29 16:35:26 | Last updated: 2012-01-29 16:38:25

Credits: Lawrynka

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: ZIP archive

Comments: 0 | Viewed: 226 times | Downloaded: 44 times

View Download

Online update experiment pack

Created: 2012-01-29 16:29:09 | Last updated: 2012-01-29 22:06:46

12 items in this pack

Comments: 0 | Viewed: 100 times | Downloaded: 69 times

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

• Download

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

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

• Download

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

View Download

Help for using experimentation workflows with recomm...

Created: 2012-01-29 11:59:49 | Last updated: 2012-01-29 17:28:20

Credits: Matej Mihelčić

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: application/publicationlist

Comments: 0 | Viewed: 72 times | Downloaded: 60 times

View Download

Data example for experimentation with recommender ex...

Created: 2012-01-29 11:53:41 | Last updated: 2012-01-30 13:19:23

Credits: tomS

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: application/x-zip-compressed

Comments: 0 | Viewed: 108 times | Downloaded: 84 times

Operator testing workflow (1)

• Download

This workflow is used for operator testing. It joins dataset metafeatures with execution times and performanse measures of the selected recommendation operator. In the Extract train and Extract test Execute Process operator user should open Metafeature extraction workflow. In the Loop Operator train/test data are used to evaluate performanse of the selected operator. Result is remebered and joined with the time and metafeature informations. This workflow can be used both for Item Recommend...

Created: 2012-01-29

Credits: Matej Mihelčić Matko Bošnjak

Metafeature extraction (1)

• Download

This is a metafeature extraction workflow used in Experimentation workflow for recommender extension operators. This workflow extracts metadata from the train/test datasets (user/item counts, rating count, sparsity etc). This workflow is called from the operator testing workflow using Execute Process operator.

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

Credits: Matko Bošnjak

Iterate through datasets (1)

• Download

This is a dataset iteration workflow. It is a part of Experimentation workflow for recommender extension. Loop FIles operator iterates through datasets from a specified directory using read aml operator. Only datasets specified with a proper regular expression are considered. Train and test data filenames must correspond e.g (train1.aml, test1.aml). In each iteration Loop Files calles specified operator testing workflow with Execute subprocess operator. Informations about training and t...

Created: 2012-01-29

Credits: Matej Mihelčić Matko Bošnjak

View Download

RMonto pack

Created: 2012-01-29 09:47:09 | Last updated: 2012-03-05 22:24:02

9 items in this pack

Comments: 0 | Viewed: 135 times | Downloaded: 31 times

This Pack has no tags!

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

• Download

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 k-medoids) of SP... (1)

• Download

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. Since the semantics of the backgound ontology is used in this way, we use the name "semantic clustering". The SPARQL query is entered in a parameter of "SPARQL selector" operator. The clustering operator (k-medoids) allows to specify which of the query variables are to be used as clustering criteria. If more ...

Created: 2012-01-29

View Download

Experimentation for recommender extension templates

Created: 2012-01-28 21:54:16 | Last updated: 2012-01-31 16:01:43

6 items in this pack

Comments: 0 | Viewed: 102 times | Downloaded: 52 times

BLAST (1)

• Download

This is a simple workflow demonstrating a sequence Basic Local Alignment Search Tool (BLAST).                                                                                           

Created: 2012-01-26 | Last updated: 2012-01-26

Credits: Pipeline

Pathways and Gene annotations forQTL region (1)

• Download

This workflow searches for genes which reside in a QTL (Quantitative Trait Loci) region in the mouse, Mus musculus. The workflow requires an input of: a chromosome name or number; a QTL start base pair position; QTL end base pair position. Data is then extracted from BioMart to annotate each of the genes found in this region. The Entrez and UniProt identifiers are then sent to KEGG to obtain KEGG gene identifiers. The KEGG gene identifiers are then used to searcg for pathways in the KEGG path...

Created: 2012-01-20 | Last updated: 2012-01-20

Credits: Bonilla

View Download

Dataset for item rating predictions

Created: 2012-01-19 14:56:28 | Last updated: 2012-01-19 14:57:13

Credits: Ninoaf

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Trident (Package)

Comments: 0 | Viewed: 113 times | Downloaded: 60 times

This File has no tags!

Item rating predictions collaborative-based (1)

• Download

This workflow takes input 2 as as train set for several item recommendation predictions. We build four different recommendation model which are combined into one model with operator Model Combiner. Then we take input 1 as a test set and apply merged model. Train and test set must contain user_id, item_id and rating attributes which need to have special roles user identification, item identification and label. This workflow uses recommender system extension.

Created: 2012-01-19

View Download

Dataset for item recommendation hybrid-based

Created: 2012-01-19 14:26:56 | Last updated: 2012-06-03 19:49:28

Credits: Ninoaf

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Trident (Package)

Comments: 0 | Viewed: 125 times | Downloaded: 91 times

This File has no tags!

Item recommendation hybrid-based workflow (1)

• Download

This workflow takes input 2 as a train set for recommender systems. We build two item recommendation models: item k-NN (collaborative based) and item attribute k-NN (content based). Item attribute k-NN operator takes additional item attributes from input 3. We combine two models with operator model combiner and test performance on test set (input 1). Train and test set must contain user_id and item_id attributes which need to have special roles user identification and item identification. Th...

Created: 2012-01-19

RDKit-bioisosteres (1)

• Download

Implementation of a simple bioisostere replacement workflow using the RDKit (2.0.0) nodes in KNIME (2.5.1). Includes short list of classical bioisostere replacements (not exhaustive), selectable by the functional group to be transformed. We added this control to the workflow as our own internal list of bioisostere replacements generated huge libraries for each structure fed into the workflow. The bioisostere replacement list is stored in a tab separated text file, so can be replaced...

Created: 2012-01-18 | Last updated: 2012-01-18

Credits: sauberns

Attributions: RDKit-pains

View Download

Taverna Tutorial Chip-Seq Downstream analysis

Created: 2012-01-17 13:26:09

Credits: Katy Wolstencroft

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: PowerPoint presentation

Comments: 0 | Viewed: 53 times | Downloaded: 59 times

This File has no tags!

View Download

document clustering

Created: 2012-01-17 11:16:46 | Last updated: 2012-02-15 16:05:57

2 items in this pack

Comments: 0 | Viewed: 74 times | Downloaded: 69 times