Search results for "rapidminer"

Connect to twitter and analyze the key words (1)

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Hi All, This workflow connects RapidMiner to Twitter and downloads the timeline. It then creates a wordlist from the tweets and breaks them into key words that are mentioned in the tweets. You can then visualize the key words mentioned in the tweets. This workflow can be further modified to review various key events that have been talked about in the twitterland. Do let me know your feedback and feel free to ask me any questions that you may have. Shaily web: http://advanced-analyti...

Created: 2010-07-26 | Last updated: 2010-07-26

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Shashank Garg

Joined: Monday 19 May 2014 09:53:33 (UTC)

Last active:Wednesday 21 May 2014 04:23:46 (UTC)

Field/Industry:Mobile computing | Occupation/Role(s):Researcher and CEO

Looping over Examples for doing de-aggrega... (1)

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This process is based on (artificially generated) data that looks like it has been aggregated before. The integer attribute Qty specifies the quantity of the given item that is represented by the rest of the example. The process now loops over every example and performs on each example another loop, that will append the current example to a new example set. This example set has been created as empty copy of the original example set, so that the attributes are equally. To get access to and rem...

Created: 2010-04-29

Iterate through datasets (1)

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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

Metafeature extraction (1)

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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

Data iteration workflow (RP) (1)

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This is a data iteration workflow used to iterate throug query update sets.

Created: 2012-01-29

Credits: Matej Mihelčić Matko Bošnjak

Transforming user/item description dataset... (1)

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This workflow provides transformation of an user/item description attribute set, into a format required by attribute based k-NN operators of the Recommender extension. See: http://zel.irb.hr/wiki/lib/exe/fetch.php?media=del:projects:elico:recsys_manual_v1.1.pdf to learn about formats of datasets required by Recommender extension.

Created: 2012-01-30

Random recommender (1)

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This process does a random item recommendation; for a given item ID, from the example set of items, it randomly recommends a desired number of items. The purpose of this workflow is to produce a random recommendation baseline for comparison with different recommendation solutions, on different retrieval measures. 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 ...

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

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tomS

Joined: Monday 10 May 2010 15:42:53 (UTC)

Last active:Saturday 20 October 2012 15:03:12 (UTC)

Email (public):smuc [at] irb.hr

Field/Industry:Research CS