Title :
Incremental Formation Algorithm Based on Concept Semilattice
Author :
Cui, Shoumei ; Qi, Chengming
Author_Institution :
Sch. of Math. Sci., Capital Normal Univ., Beijing
Abstract :
Concept lattice is an efficient formal tool for data analysis and knowledge extraction. For solving the redundancy of nodes and edges in concept lattice, we replace lattice with join-semilattice and present an incremental algorithm based on increasing attributes during the construction process. We provide the implementation of this algorithm and demonstrate the process of concept semilattice updating by an example. Experimental results show its effectiveness and efficiency.
Keywords :
data analysis; knowledge acquisition; lattice theory; concept semilattice; data analysis; formal tool; incremental formation algorithm; knowledge extraction; Algorithm design and analysis; Computational intelligence; Data analysis; Data mining; Design automation; Educational institutions; Hydrogen; Knowledge acquisition; Lattices; Upper bound; Attribute-based; Concept semilattice; Formal concept analysis (FCA); Incremental formation; Joinsemilattice;
Conference_Titel :
Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3311-7
DOI :
10.1109/ISCID.2008.194