Title :
Association Rule Mining Analysis on Concept Lattice and Rough Set
Author :
Wang, Dexing ; Cui, Lixia ; Wang, Yanhua ; Zhang, Jian
Author_Institution :
Coll. of Inf. Technol., Shanghai Ocean Univ., Shanghai, China
Abstract :
Rough set is used extensively in the field of date mining, which is also an useful tool for mining rules from decision tables, then solves the bottleneck of knowledge acquisition effectively, while concept lattice represents knowledge shown with hierarchical structure on the Hasse diagram, thus it is properly applied to the description of mining association rules in databases. Association rules mining based on rough set and concept lattice can be shown that they perform the same function. However the latter represents the association rules more visual, vivid and concise than the former, therefore, association rule mining on concept lattice is applied to find common relations among different knowledge clusters in computer education.
Keywords :
data mining; rough set theory; Hasse diagram; association rule mining analysis; concept lattice; data mining; databases; decision tables; knowledge acquisition; rough set; Association rules; Computer science education; Data mining; Educational institutions; Information technology; Knowledge acquisition; Lattices; Oceans; Testing; Transaction databases; association rule; concept lattice; data mining; rough set;
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
Electronic_ISBN :
978-1-4244-6389-3
DOI :
10.1109/ETCS.2010.545