IMPLEMENTING DATA MINING FUNCTIONS ON A JAVA-BASED STATISTICAL SYSTEM

• Kobayashi Ikunori

  Faculty of Engineering, Tokushima Bimri University

• Nakano Junji

  Center for Development of Statistical Computing, The Institute of Statistical Mathematics

• Yamamoto Yoshikazu

  Faculty of Engineering, Tokushima Bimri University

• Fujiwara Takeshi

  Faculty of Informatics, Tokyo University of Information Science

Bibliographic Information

Other Title

• Javaによる統計システムへのデータマイニング機能の実装
• Java ニ ヨル トウケイ システム エ ノ データマイニング キノウ ノ ジッソウ

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/.

Journal

• Bulletin of the Computational Statistics of Japan

  Bulletin of the Computational Statistics of Japan 18 (1), 15-25, 2006

  Japanese Society of Computational Statistics

Keywords

• Jasp
• Weka
• Java technologies

Details

• CRID: 1390282679358011136
• NII Article ID: 110004818390
• NII Book ID: AN10195854
• DOI: 10.20551/jscswabun.18.1_15
• ISSN: 21899789
• ISSN: 09148930
• NDL BIB ID: 8070084
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8070084
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed