Workflows

Transaction Analysis Demo from RM 5 Intro Day (1)

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This is the demo process presented at the RapidMiner 5 Intro Day. It combines customer segmentation with direct mailing. It loads some transaction data, aggregates and pivotes the data so it can be used by a clustering to perform a customer segmentation. Then, additional data is joined with the clustered data. First, response/no-response data is joined, and them some additional information about the users is added. Finally, customers are classified into response/no-response classes. The dat...

Created: 2010-04-30 | Last updated: 2010-05-05

Mining Semantic Web data using Corresponde... (1)

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This workflow describes how to learn from the Semantic Web's data using a data transformation algorithm 'Correspondence Analysis'. The input to the workflow is a feature vector developed from a RDF resource. The loaded example set is divided into training and test parts. These sub-example sets are used by the Correspondence Analysis operators (encapsulate the Correspondence Analysis data transformation technique) which processes each feature at a time and transform the data into a different...

Created: 2011-06-25 | Last updated: 2011-06-25

KNN-FeatureSelection-INCAE (1)

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This process adapts one of the templates available in RapidMiner 5 to include some preprocessing.

Created: 2011-10-28

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

Example Process using the WHIBO Extension (1)

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This example shows simply the operator Generic decision tree of the WHIBO extension for RapidMiner Studio, which allows the creation and usage of an individual Decision Tree algorithm.

Created: 2014-12-04

Plot round results of a backward elimination (1)

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This process will perform a backward elimination and logs all performance and deviation results of each round. This way, you can use the visualizations of rapidminer to asses the performance gain.

Created: 2010-05-26

Meta-mining workflow that performs crossva... (1)

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Performs a crossvalidation on a data set composed of baseline RapidMiner workflows described with dataset characteristics used by the given workflow and the learning algorithm used in the given workflow.

Created: 2012-03-05 | Last updated: 2012-03-05

Execute Program on Windows 7 (1)

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This simple process demonstrates how to execute a program on windows 7 even if the program path contains spaces. The process will start the Internet Explore if the path exists. Tags: Rapidminer, Execute Program, Windows 7

Created: 2010-06-09

CHART based Feature Weightage (1)

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Features can be assigned weightage through the decision tree model. In this regard, RapidMiner's Auto Model comes quite handy. Divide the original data into training and testing datasets before applying the workflow to it. 

Created: 2020-06-30 | Last updated: 2020-06-30

Credits: Imran Ali Syed

Gradient Boosting Trees based Feature Weig... (1)

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Features can be assigned weightage through the gradient boosting trees model. In this regard, RapidMiner's Auto Model comes quite handy. Divide the original data into training and testing datasets before applying the workflow to it. 

Created: 2020-06-30 | Last updated: 2020-06-30

Credits: Imran Ali Syed