Knowledge acquisition by methods of formal concept analysis
Proceedings of the conference on Data analysis, learning symbolic and numeric knowledge
An incremental concept formation approach for learning from databases
Theoretical Computer Science - Special issue on formal methods in databases and software engineering
Data mining: concepts and techniques
Data mining: concepts and techniques
Research on a union algorithm of multiple concept lattices
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
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Since the completeness of the concept lattice, its construction efficiency is a key of restricting the application. For the inevitable redundant information occurred in the construction process of partitioned concept lattice, an improved incremental construction algorithm PHCL of horizontal partitioned concept lattice, called the pruning based incremental algorithm is proposed, which uses a pruning process to eliminate redundant information during the construction, to improve the construction efficiency of horizontal partitioned concept lattice. In the end, the experiment results prove the correctness and validity of the pruning based algorithm PHCL by taking the star spectra from the LAMOST project as the formal context.