dc.contributor.author | McEnnis, Daniel | |
dc.date.accessioned | 2009-08-12T04:50:02Z | |
dc.date.available | 2009-08-12T04:50:02Z | |
dc.date.issued | 2009-08-12 | |
dc.identifier.citation | McEnnis, D. (2009). Graph-RAT programming environment. (Working paper 04/2009). Hamilton, New Zealand: University of Waikato, Department of Computer Science. | en |
dc.identifier.issn | 1177-777X | |
dc.identifier.uri | https://hdl.handle.net/10289/2814 | |
dc.description.abstract | Graph-RAT is a new programming environment specializing in relational data mining. It incorporates a number of different techniques into a single framework for data collection, data cleaning, propositionalization, and analysis. The language is functional where algorithms are executed over arbitrary sub-graphs of the data. Analytical results can be conducted using collaborative filtering or machine learning techniques. The example algorithms are under BSD license. | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.publisher | University of Waikato, Department of Computer Science | en |
dc.relation.ispartofseries | Computer Science Working Papers | |
dc.subject | computer science | en |
dc.subject | Graph-RAT | en |
dc.subject | data mining | en |
dc.title | Graph-RAT programming environment | en |
dc.type | Working Paper | en |
uow.relation.series | 04/2009 | |
pubs.elements-id | 53912 | |