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Calculation of distances, magnitutes and l... (4)

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Calculation of distances, corrected apparent B magnitude mB-corr and luminosities with values gathered from the HyperLEDA database. This workflow receives a list of galaxy names (hyperLEDA names. ie: KIG0001) and a file with the morphological types of those galaxies Using the name of a galaxy, the workflow querys Hyperleda to extract some properties of this galaxy (J2000 Coordinates, velocity, galactic extinction,log of axis ratio, and the Total B-magnitude ). With this properties it calcula...

Created: 2011-11-14 | Last updated: 2012-01-11

Sample IMPACT hackathon workflow (1)

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Workflow that implements the Use Case for Group 2 at the IMPACT/Taverna hackathon. What it does is to take the URL of a TIFF image and compute the Levenshtein difference between the OCR output of the uncompressed version with various ones compressed at various bit rates.

Created: 2011-11-14 | Last updated: 2012-06-19

Credits: Donal Fellows

Calculate edit distance based on words (1)

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 Calculate the word based edit distance between a scan of an OCR image and its ground truth.

Created: 2011-11-14 | Last updated: 2011-11-14

Credits: perdalum

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Presentation - Towards Executable Research Objects

Created: 2011-11-09 15:50:08 | Last updated: 2011-11-09 15:51:34

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Comments: 0 | Viewed: 17 times | Downloaded: 5 times

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Basic Call of HELIO Coordinate Transformat... (2)

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Transforms an input VOTable Coordinate set to a specified output VOTable Coordinate set. This workflow performs some remote computation and may take some time to complete.

Created: 2011-11-09 | Last updated: 2012-07-09

Credits: Anja Le Blanc

Attributions: Basic Call of HELIO Coordinate Transformation Service

Series of Factorials (1)

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 The workflow generates the series of factorial numbers.

Created: 2011-11-09 | Last updated: 2011-11-11

Basic Call of HELIO Coordinate Transformat... (1)

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Transforms an input VOTable Coordinate set to a specified output VOTable Coordinate set. This workflow performs some remote computation and may take some time to complete.

Created: 2011-11-08 | Last updated: 2011-11-08

Credits: Anja Le Blanc

Instance Selection and Prototype Based Rul... (2)

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Example of Instance optimization using LVQ algorithm for training kNN classifier (Requires Instance Selection and Prototype Based Rules): Here we use FCM clustering to initialize LVQ network. The "Class assigner" is responsible for assigning class label for each cluster center, then obtained ExampleSet is used as codebooks initialization in the LVQ operator, which on the Prototype (Pro) output delivers the new optimized position of codebooks (prototypes) for training nearest n...

Created: 2011-11-05 | Last updated: 2011-11-07

Instance Selection and Prototype Based Rul... (1)

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Example of Instance optimization - using clustering for training kNN classifier (Requires Instance Selection and Prototype Based Rules) : Here we use FCM (Fuzzy c-means) clustering to initialize kNN classifier. Moreover centers of clusters are determined independent for each class. "Class iterator" operator iterates over each class label, and embedded clustering algorithm cluster the examples for each class independent. The Prototype (Pro) output of "Class iterator" delivers the concatena...

Created: 2011-11-05 | Last updated: 2011-11-05

Instance Selection and Prototype Based Rul... (2)

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Example of Instance optimization (Requires Instance Selection and Prototype Based Rules): Here we use FCM (Fuzzy C-means) clustering to initialize kNN classifier. The "Class assigner" is responsible for assigning class label for each cluster center. The class assigner operator use Voronoi diagram and the majority voting for determining class label.

Created: 2011-11-05 | Last updated: 2011-11-07

Instance Selection and Prototype Based Rul... (1)

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Example of Instance selection: (Requires Instance Selection and Prototype Based Rules plugin): Here instance selection is based on All-kNN algorithm. Because the Pro output of any instance selection operator is just an ExampleSet object, so in fact any Learner can be used instead of kNN, like DecisionTree, but in this example the Decision Tree is based on the reduced ExampleSet .

Created: 2011-11-05

Instance Selection and Prototype Based Rul... (1)

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Example of Instance selection chain (Requires Instance Selection and Prototype Based Rules plugin): Beafore training kNN we do instance selection based on cascade of instance selection algorithms. Here ENN algorithm is followed by CNN algorithm. Instance selection algorithms form PRules plugin works as View on original ExampleSet

Created: 2011-11-05

Instance Selection and Prototype Based Rul... (1)

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Example of Instance selection (Requires Instance Selection and Prototype Based Rules plugin): Before training kNN we do instance selection based on ENN algorithm. The ENN algorithm can be replaced by any other instance selection algorithms from Prules/Selection/* Instance selection algorithms form PRules plugin works as View on original ExampleSet

Created: 2011-11-05 | Last updated: 2011-11-05

Find periods of time where two ILS objects... (2)

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Inputs: name of target_obj of ILS of two objects and a number of degrees which these obejcts are allowed to be appart in hci longitude coordinates. Output VOTable of time periods where these two objects are closer than +/- input angle together.

Created: 2011-11-04 | Last updated: 2011-11-18

Credits: Anja Le Blanc

RCOMM 2011 Challenge 3: RapidDraw (1)

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This is a solution for Challenge 3 of the a live data mining process design competition "Who Wants to be a Data Miner" held at RCOMM 2011 in Dublin. The task was to generate a dataset that looks like a spiral when viewed in an appropriate plotter. This process opens a file with three initial data points and subsequently adds more points to the data set in a loop, using macros to extract data values of the predecessors and a "Generate Attributes" operator to add new data points. To view the...

Created: 2011-11-02

RCOMM 2011 Challenge 2: Vodka or President? (1)

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This is a solution for Challenge 2 of the a live data mining process design competition "Who Wants to be a Data Miner" held at RCOMM 2011 in Dublin. Those of you who loved "You Don't Know Jack" will remember this task: To tell whether a certain word is the name of a vodka or the name of a leader of the Soviet Union. The RapidMiner process was allowed to download data from Wikipedia to make this decision. One input file contains a list of words for which two attributes "Vodka" or "Leader" wi...

Created: 2011-11-02

RCOMM 2011 Challenge 1: Hobbit Genealogy (1)

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This is a solution for Challenge 1 of the a live data mining process design competition "Who Wants to be a Data Miner" held at RCOMM 2011 in Dublin. As you certainly know, Balbo Baggins is the common ancestor of Balbo and Frodo Baggins. The file opened by the operator "Open Ancestor" contains a table with details about parentship in the Baggins family (insert a breakpoint after read CSV). Each example contains a parent and a child. Of course, the same parent can be contai...

Created: 2011-11-02 | Last updated: 2011-11-02

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RapidAnalytics Video Series Demo Processes

Created: 2011-11-02 15:02:21 | Last updated: 2011-11-02 18:00:41

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Comments: 0 | Viewed: 168 times | Downloaded: 79 times

POSTing CSV file to RapidAnalytics Web ser... (1)

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This is the second demo process used in the RapidAnalytics video on creating Web services. This process is the actual scoring process and used the model generated by the first process. The first input must be a CSV blob in the repository. Once the process is exposed as a Web service in RapidAnalytics, this input will be replaced by the body of the HTTP POST request.

Created: 2011-11-02 | Last updated: 2011-11-02

POSTing CSV file to RapidAnalytics Web ser... (1)

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This is the first demo used in the RapidAnalytics video on creating Web services. It downloads three data sets provided by data.gov.uk and generates a regression model and stores it as "RegressionTree" in the repository.

Created: 2011-11-02

Ice Class Map pixel analysis (NERSC) (1)

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NERSC ice classification workflow. Avaible images for a specific date will be fecthed from the WPS service, and their color table changed to allow for a user to easly identify specific areas. Statistical analysis also run using the r.stats module. Worflow uses a list of image, the list will flow thru the workflow for process resulting in mutiple outputs

Created: 2011-11-02 | Last updated: 2011-11-02

Credits: Jorgejesus

date filter for ice Class Map service (NERSC) (1)

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Workflow to filter available dates with ice classification images. Service provided by NERCS. Dates are filtered using a simple regular expression

Created: 2011-11-02 | Last updated: 2011-11-04

Credits: Jorgejesus

r.stats workflow for pixel statistics (1)

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r.stats operation for image. Output will group pixels by: DN, total area, relative %. This worflow is used inside the ice Class exampel as a nested workflow

Created: 2011-11-02 | Last updated: 2011-11-02

Credits: Jorgejesus

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Presentation - Accelerating Scientists Knowledge Turns

Created: 2011-10-30 23:43:55 | Last updated: 2012-02-17 09:55:18

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Comments: 0 | Viewed: 54 times | Downloaded: 11 times

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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