توضیحات
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 [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 SourceForge 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.
INTRODUCTION
The Waikato Environment for Knowledge Analysis (WEKA) came about through the perceived need for a unified workbench that would allow researchers easy access to state-ofthe-art techniques in machine learning. At the time of the project’s inception in 1992, learning algorithms were available in various languages, for use on different platforms, and operated on a variety of data formats. The task of collecting together learning schemes for a comparative study on a collection of data sets was daunting at best. It was envisioned that WEKA would not only provide a toolbox of learning algorithms, but also a framework inside which researchers could implement new algorithms without having to be concerned with supporting infrastructure for data manipulation and scheme evaluation. Nowadays, WEKA is recognized as a landmark system in data mining and machine learning [22]. It has achieved widespread acceptance within academia and business circles, and has become a widely used tool for data mining research. The book that accompanies it [35] is a popular textbook for data mining and is frequently cited in machine learning publications. Little, if any, of this success would have been possible if the system had not been released as open source software. Giving users free access to the source code has enabled a thriving community to develop and facilitated the creation of many projects that incorporate or extend WEKA.
Year: 2003
Publishe: University of Ljubljana
By: Mark Hall Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer ,Peter Reutemann, Ian H. Witten
File Information: English Language/ 9 Page / size:874KB
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سال :2003
ناشر : University of Ljubljana
کاری از : Mark Hall Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer,Peter Reutemann, Ian H. Witten
اطلاعات فایل : زبان انگلیسی / 9 صفحه / حجم : 874KB
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