An Updating Algorithm of Concept Lattice Based on Concept Promoting
Sulan Zhang
Abstract
Sulan Zhang
Abstract
Concept lattice is an effective tool for data mining since its structure reflects the vivid simplicity of the relationship between generalization and specialization among concept lattices.But the efficiency is lower when the concept lattice generates directly from the formal context.For the merging of many attributes in the formal context,an updating algorithm UCP of concept lattice based on concept promoting is presented in order to improve the construction efficiency.The algorithm makes full use of the concept lattice before the attributes merge.Some parts of nodes are updated,therefore the updating efficiency is improved.Finally,experiment results show the validity of the algorithm by using VC++6.0 and Oracle9i as development tools and taking the celestial spectrum data as the formal context.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Concept lattice is an effective tool for data mining since its structure reflects the vivid simplicity of the relationship between generalization and specialization among concept lattices.But the efficiency is lower when the concept lattice generates directly from the formal context.For the merging of many attributes in the formal context,an updating algorithm UCP of concept lattice based on concept promoting is presented in order to improve the construction efficiency.The algorithm makes full use of the concept lattice before the attributes merge.Some parts of nodes are updated,therefore the updating efficiency is improved.Finally,experiment results show the validity of the algorithm by using VC++6.0 and Oracle9i as development tools and taking the celestial spectrum data as the formal context.
Key concepts: Lattice Miner, Merge (version control), Lattice (music), Formal concept analysis, Algorithm, Computer science, Theoretical computer science, Mathematics