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test

Created: 2010-06-22 14:27:37 | Last updated: 2010-08-18 16:46:31

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PC1 mockup part A

Created: 2010-06-21 09:42:44 | Last updated: 2010-06-21 16:17:25

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Finding all Examples that have duplicate v... (1)

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This process will retrieve all examples, who have identical values in a specific attribute. For testing, the following data can be writen into the file, that will be read by the Read CSV operator: CID,Value 3596,X 4054,X 4054,X 3000,S 3000,T 3000,U 32135,S The target of this process is to return the two examples having the same value in the CID column. To achieve this, first a real id is generated by the generate id. After this, we have to find all duplicates: For this we first remove dupl...

Created: 2010-06-18

Optimizing Discretization (1)

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This process generates a decision tree on the Iris data set. Before the decision tree is generated, the input attributes are discretised so we only work on nominal attributes. We use a combination of "Select Subprocess" and "Optimize Parameters" to select the best out of five different discretizazion methods independently for each of the attributes. The process shows, that the resulting accuracy heavily depends on the choice of the method. It varies between 64% and 94%.

Created: 2010-06-18 | Last updated: 2010-06-18

Phylogenetic Study Using the Bio Extract S... (2)

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This workflow, created using the BioExtract Server, contains a nucleotide query (using the NCBI Core Nucleotide Database), Blastn (against the Homo sapiens genome), Blastn (against the Mus musculus genome), the Format Conversion tool, the Fetch Translator Tool, and ClustalW. This workflow was created following the analytical steps described in the journal article "Resolution among major placental mammal interordinal relationships with genome data imply that speciation influenced the...

Created: 2010-06-17 | Last updated: 2010-07-19

Credits: Kendra Giesey BioExtract Server for Genomics

SDS-Page Gel (1)

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Created: 2010-06-17 | Last updated: 2010-06-17

Credits: http://thebluerhino.myopenid.com/

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COMAD20_API_Specification

Created: 2010-06-17 06:41:56 | Last updated: 2010-06-17 06:41:57

Credits: Leidou

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: application/x-zip-compressed

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Comad20_User_Manual

Created: 2010-06-16 22:30:44 | Last updated: 2010-06-16 22:40:19

Credits: Leidou

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Adobe PDF

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Unbiasing procedure (1)

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It is a workflow for description of our unbiasing procedure that is used in LiquidPub project,  "Peer Review and Reviewer Behavior" branch. The procedure is used  for conducting experiments on conference data.

Created: 2010-06-16 | Last updated: 2010-06-16

Credits: Katsiaryna Mirylenka

Preprocessing nominal data for frequent it... (1)

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This process will first create artificial data that can be compared to usual data loaded for frequent item set mining: Nominal Data with a true and false value, but differently mapped to internal indices. For ItemSet Mining these must be preprocessed to avoid problems: First they have to be transformed to Binominal Attributes, then it has to be defined, which is the positive and the negative value.

Created: 2010-06-16 | Last updated: 2010-06-16