User: mansoor khan

Avatar

Name: mansoor khan

Joined: Tuesday 30 November 2010 17:27:40 (UTC)

Last seen: Saturday 25 June 2011 12:04:03 (UTC)

Email (public): Not specified

Website: Not specified

Location: Not specified

mansoor khan has been credited 0 times

mansoor khan has an average rating of:

0.0 / 5

(0 ratings in total)

for their items

Description/summary not set


Other contact details:

Not specified

Interests:

Not specified

Field/Industry: Not specified

Occupation/Role(s): Not specified

Organisation(s):

Not specified
 

Note: some items may not be visible to you, due to viewing permissions.


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

Thumb
This workflow will explain that how an example set can be extracted from an RDF resource using the provided SPARQL query. This example set is then divided into training and test parts. These sub-example sets are used by the Correspondencce Analysis operators (encapsulate the Correspondencce Analysis data transformation technique) which processes each feature at a time and transform the data into a different space. This transformed data is more meaningful and helps the learner to improve clas...

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

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

Thumb
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

Workflow Mining Semantic Web data using FastMap - R... (1)

Thumb
This workflow will explain that how an example set can be extracted from an RDF resource using the provided SPARQL query. This example set is then divided into training and test parts. These sub-example sets are used by the FastMap operators (encapsulate the FastMap data transformation technique), which processes each feature at a time and transform the data into a different space. This transformed data is more meaningful and helps the learner to improve classfication peformance. The tranfo...

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

Workflow Mining Semantic Web data using FastMap - E... (1)

Thumb
This workflow describes how to learn from the Semantic Web's data. The input to the workflow is a feature vector developed from a RDF resource. The loaded example set is then divided into training and test parts. These sub-example sets are used by the FastMap operators (encapsulate the FastMap data transformation technique), which processes each feature at a time and transform the data into a different space. This transformed data is more meaningful and helps the learner to improve classfica...

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

What is this?

Linked Data

Non-Information Resource URI:


Alternative Formats

HTML
RDF
XML