The WEKA data mining software: An update
| dc.contributor.author | Hall, Mark A. | |
| dc.contributor.author | Frank, Eibe | |
| dc.contributor.author | Holmes, Geoffrey | |
| dc.contributor.author | Pfahringer, Bernhard | |
| dc.contributor.author | Reutemann, Peter | |
| dc.contributor.author | Witten, Ian H. | |
| dc.date.accessioned | 2025-04-07T21:25:15Z | |
| dc.date.available | 2025-04-07T21:25:15Z | |
| dc.date.issued | 2009 | |
| dc.description.abstract | More than twelve years have elapsed since the first public release of WEKA. In that time, the software has been rewritten entirely from scratch, evolved substantially and now accompanies a text on data mining. These days, WEKA enjoys widespread acceptance in both academia and business, has an active community, and has been downloaded more than 1.4 million times since being placed on Source-Forge in April 2000. This paper provides an introduction to the WEKA workbench, reviews the history of the project, and, in light of the recent 3.6 stable release, briefly discusses what has been added since the last stable version (Weka 3.4) released in 2003. | |
| dc.identifier.citation | Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I. H. (2009). The WEKA data mining software: An update. SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining, 11(1). https://doi.org/10.1145/1656274.1656278 | |
| dc.identifier.doi | 10.1145/1656274.1656278 | |
| dc.identifier.eissn | 1931-0153 | |
| dc.identifier.issn | 1931-0153 | |
| dc.identifier.uri | https://hdl.handle.net/10289/17312 | |
| dc.language | English | |
| dc.language.iso | en | |
| dc.publisher | ACM | |
| dc.relation.isPartOf | SIGKDD Explorations Newsletter | |
| dc.rights | This is an accepted version of an article published in the journal ACM SIGKDD Explorations Newsletter. © 2009 The authors. | |
| dc.subject | computer science | |
| dc.subject.anzsrc2020 | 46 Information and Computing Sciences | |
| dc.subject.anzsrc2020 | 4612 Software Engineering | |
| dc.title | The WEKA data mining software: An update | |
| dc.type | Journal Article | |
| pubs.confidential | false |