An efficient algorithm for increasing the granularity levels of attributes in formal concept analysis

作者：

Highlights：

• Necessary and sufficient conditions for identifying different types of concepts.

• An efficient and unified method of concept classification.

• A preprocessing routine to help create new concepts and fix the covering relation.

• An efficient algorithm for increasing the granularity levels of attributes in FCA.

摘要

•Necessary and sufficient conditions for identifying different types of concepts.•An efficient and unified method of concept classification.•A preprocessing routine to help create new concepts and fix the covering relation.•An efficient algorithm for increasing the granularity levels of attributes in FCA.

论文关键词：Formal concept analysis,Concept lattice,Granularity of attributes,Interactive data exploration

论文评审过程：Received 14 July 2015, Revised 21 October 2015, Accepted 22 October 2015, Available online 30 October 2015, Version of Record 18 November 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.10.026