DocumentCode
2337703
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
Volume
3
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
1687
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1382047
Filename
1382047
Link To Document