Title :
A fast algorithm for mining association rules based on concept lattice
Author :
Wang, Yuan-Yuan ; Hu, Xue-Gang
Author_Institution :
Sch. of Comput. & Inf., Hefei Univ. of Technol., China
Abstract :
Association rule mining is an important research branch of data mining. However, most algorithms based on the frequent itemsets have to scan databases many times. This paper presents an algorithm that can find association rules quickly. The algorithm is based on the concept lattice and can certify all association rules with only one scan of databases. Firstly, this paper discusses the principle of building the concept lattice, and then it describes the association rules mining algorithm based on concept lattice. At last the paper proves the efficiency and advantages of this algorithm by several experiments.
Keywords :
data mining; association rule mining algorithm; concept lattice; data mining; database scanning; frequent itemsets; Algorithm design and analysis; Association rules; Concrete; Data analysis; Data mining; Databases; Design methodology; Itemsets; Knowledge engineering; Lattices;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1382047