Bulletin of the Computational Statistics of Japan
Online ISSN : 2189-9789
Print ISSN : 0914-8930
ISSN-L : 0914-8930
IMPLEMENTING DATA MINING FUNCTIONS ON A JAVA-BASED STATISTICAL SYSTEM
Ikunori KobayashiJunji NakanoYoshikazu YamamotoTakeshi Fujiwara
Author information
JOURNAL FREE ACCESS

2006 Volume 18 Issue 1 Pages 15-25

Details
Abstract
Jasp is a general purpose statistical system, which has been developed by using Java technologies. We have implemented data mining methods on it, by importing well-known data mining Java class library Weka and combining it in Jasp language. This approach can shorten the time of implementation work, keep consistency of the system, and make it easy to collaborate with other Jasp functions. Users can cleanse a dataset, make several graphs of the dataset by Jasp statistical functions, and apply data mining algorithms such as C4.5, PRISM, support vector machine, APRIORI, K-Means, by Weka functions. This version of Jasp is freely available from http://jasp.ism.ac.jp/.
Content from these authors
© 2006 Japanese Society of Computational Statistics
Previous article Next article
feedback
Top