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The Weka data mining software

An Update

Datos Bibliográficos

ID23375341
AutoresMark Hall (0000-0002-1399-8362, Pentaho Corporation, Orlando, FL), Eibe Frank (0000-0001-6152-7111, University of Waikato), Geoffrey Holmes (0000-0003-0433-8925, University of Waikato), Bernhard Pfahringer (0000-0002-3732-5787, University of Waikato), Peter Reutemann (0000-0002-1226-0948, University of Waikato), Ian H Witten (0000-0001-6428-8988, University of Waikato)
Año2009
Volumen11
Número1
Páginas10-18
Fecha de publicación2009-11-16
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaACM SIGKDD Explorations Newsletter (JOURNAL)
Identificadores de la revistaISSN: 1931-0145 • E-ISSN: 1931-0153
EditorialAssociation for Computing Machinery (ACM) (PUBLISHER)
DOI10.1145/1656274.1656278
OpenAlexW2133990480
IdiomaEN
Citas recibidas139
Referencias citadas19

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 [35]. 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.

Data mining · Data science · Open source software · Operating system · Software engineering · Workbench · World Wide Web · Advanced Database Systems and Queries · Computer Science · Data Management and Algorithms · Data Mining Algorithms and Applications · Software

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Obras citantes distintas139
Citas por año9,27
Intervalo de citas2011 - 2026 (16)
Velocidad de citacióncurrent
Altamente citadoSí
Tipos de citaNeutras: 128
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