SPMF: A Java']Java Open-Source Pattern Mining Library

被引：0

作者：

Fournier-Viger, Philippe ^{[1
]}

Gomariz, Antonio ^{[2
]}

Gueniche, Ted ^{[3
]}

Soltani, Azadeh ^{[3
]}

Wu, Cheng-Wei ^{[4
]}

Tseng, Vincent S. ^{[4
]}

机构：

[1] Univ Moncton, Dept Comp Sci, Moncton, NB EA1 3E9, Canada

[2] Univ Murcia, Dept Informat & Commun Engn, E-30100 Murcia, Spain

[3] Ferdowsi Univ Mashhad, Dept Comp Engn, Mashhad, Iran

[4] Natl Cheng Kung Univ, Dept Comp Sci & Informat Engn, Tainan 70101, Taiwan

来源：

JOURNAL OF MACHINE LEARNING RESEARCH | 2014年 / 15卷

基金：

加拿大自然科学与工程研究理事会;

关键词：

data mining; library; frequent pattern mining; sequence database; transaction database; open-source;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present SPMF, an open-source data mining library offering implementations of more than 55 data mining algorithms. SPMF is a cross-platform library implemented in Java, specialized for discovering patterns in transaction and sequence databases such as frequent itemsets, association rules and sequential patterns. The source code can be integrated in other Java programs. Moreover, SPMF offers a command line interface and a simple graphical interface for quick testing. The source code is available under the GNU General Public License, version 3. The website of the project offers several resources such as documentation with examples of how to run each algorithm, a developer's guide, performance comparisons of algorithms, data sets, an active forum, a FAQ and a mailing list.

引用

页码：3389 / 3393

页数：5

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