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	The SPMF Open-Source Data Mining Library Version 2
	Fournier-Viger, Philippe ; Lin, Jerry Chun-Wei ; Gomariz, Antonio ; Gueniche, Ted ; Soltani, Azadeh ; Deng, Zhihong ; Hoang Thanh Lam
	2016
关键词	Open-source library Data mining Frequent pattern mining
英文摘要	SPMF is an open-source data mining library, specialized in pattern mining, offering implementations of more than 120 data mining algorithms. It has been used in more than 310 research papers to solve applied problems in a wide range of domains from authorship attribution to restaurant recommendation. Its implementations are also commonly used as benchmarks in research papers, and it has also been integrated in several data analysis software programs. After three years of development, this paper introduces the second major revision of the library, named SPMF 2, which provides (1) more than 60 new algorithm implementations (including novel algorithms for sequence prediction), (2) an improved user interface with pattern visualization (3) a novel plug-in system, (4) improved performance, and (5) support for text mining.; EI; CPCI-S(ISTP); philfv8@yahoo.com; jerrylin@ieee.org; agomariz@gmail.com; ted.gueniche@gmail.com; a.soltani@ub.ac.ir; zhdeng@cis.pku.edu.cn; t.l.hoang@ie.ibm.com; 36-40; 9853
语种	英语
出处	European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD)
DOI标识	10.1007/978-3-319-46131-1_8
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/449571]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Fournier-Viger, Philippe,Lin, Jerry Chun-Wei,Gomariz, Antonio,et al. The SPMF Open-Source Data Mining Library Version 2. 2016-01-01.

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