Workflows

RCOMM 2012 Sudoku Challenge: 2 - Drop impo... (1)

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Process from the http://rcomm2012.org live data mining challenge. The task was to partially solve a Sudoku puzzle by solving three subtasks. Processes 1-3 in this pack are the actual solutions to the tasks, process 0 loads the required data into your repository and process 4 is the bonus that solves the entire puzzle. IMPORTANT: Save this process as "RCOMM 2012 Sudoku Challenge: 2 - Drop impossible values" since it is included from process 3. This process eliminates impossible rows from the...

Created: 2012-09-04

RCOMM 2012 Sudoku Challenge: 1 - Generate ... (1)

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Process from the http://rcomm2012.org live data mining challenge. The task was to partially solve a Sudoku puzzle by solving three subtasks. Processes 1-3 in this pack are the actual solutions to the tasks, process 0 loads the required data into your repository and process 4 is the bonus that solves the entire puzzle. This process loads the numbers 1..9 and uses two Cartesian Product operators to compute the set of all combinations x, y, v. Finally we compute the index of the 3x3 sub-field a...

Created: 2012-09-04

RCOMM 2012 Sudoku Challenge: 0 - Get Data (1)

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Process from the http://rcomm2012.org live data mining challenge. The task was to partially solve a Sudoku puzzle by solving three subtasks. Processes 1-3 in this pack are the solutions to the actual tasks, process 0 loads the required data into your repository and process 4 is the bonus that solves the entire puzzle. This process loads the two required data sets from rapid-i.com and stores them in your repository. The first data set contains the numbers 1 to 9 and the second contains the pr...

Created: 2012-09-04

Online update recommendation web service V2 (1)

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 After some arbitrary number of recommendations to specific users, system has to update recommendations in item recommendation table. This is accomplished by calling the online update recommendation web service, which updates the recommendation model in RapidAnalytics repository and updates the recommendations for specific users in item recommendation table.

Created: 2012-06-20 | Last updated: 2012-06-20

Offline update recommendation web service V2 (1)

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  Periodically we have to do a full re-training on whole train set by the offline update recommendation web service.

Created: 2012-06-20 | Last updated: 2012-06-20

TextualAttributeExtraction for Recommender... (1)

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This workflow takes conent data from VideoLectures.Net Recommender System Challenge and extractes word-vectors for each lecture. Latent semantic analysis with Singular Value Decomposition is done on item-word binary matrix. The last step is the binomializaiton of dataset.

Created: 2012-06-03

Hybrid recommendation system (1)

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This is one hybrid recommendation system combining linear regression recommender, created using RapidMiner core operators, and Recommender extension multiple collaborative filtering and attribute based operators.

Created: 2012-05-17

Credits: Matej Mihelčić Matko Bošnjak

Online update recommendation web service (1)

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 After some arbitrary number of recommendations to specific users, system has to update recommendations in \textit{item recommendation table}. This is accomplished by calling the online update recommendation web service, which updates the recommendation model in RapidAnalytics repository and updates the recommendations for specific users in \textit{item recommendation table}.

Created: 2012-05-11 | Last updated: 2012-05-11

Write activity web service (1)

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 When the specific user $i$ "consumes" certain item $j$ the write activity web service is called, which writes activity $(i,j)$ to \textit{train set table} and removes recommendation $j$ for user $i$ from \textit{item recommendation table} in SQL database.

Created: 2012-05-11 | Last updated: 2012-05-11

Execution time measurement for Rapidminer ... (1)

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This is a workflow that measures execution times of various RapidMiner operators on random polynomial classification datasets of various sizes in the range of 4 to 2000 examples and attributes.

Created: 2012-05-11 | Last updated: 2012-05-11