Scalable Informative Rule Mining

Feng, GY; Golab, L; Srivastava, D

Feng, GY (reprint author), Carnegie Mellon Univ, Pittsburgh, PA 15213 USA.

2017 IEEE 33RD INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2017), 2017; ( ): 437

Abstract

We present SIRUM: a system for Scalable Informative RUle Mining from multi-dimensional data. Informative rules have recently been studied in several c......

Full Text Link


Links

期刊讨论 | 中国SCI论文 | 期刊主页 | 投稿经验 | 杂志官网 | 投稿链接 | 作者需知 | PMC链接 | Pubmed全文检索