NDLI: Association Rule Mining Based on Concept Lattice in Bioinformatics Research

Content Provider	IEEE Xplore Digital Library
Author	Dexing Wang Lixia Cui Yanhua Wang Hongchun Yuan Jian Zhang
Copyright Year	2010
Abstract	Concept lattice represents knowledge with the relationships between the intent and the extent of concepts, and the relations between the generalization and the specialization of concepts, then knowledge can be shown on the Hasse diagram with hierarchical structure, thus it is properly applied to the description of mining association rules in databases. Compared with well-known Apriori and FP-Growth algorithm, mining association rules on concept lattice does not need to scan databases for many times, and shows association rules on the Hasse diagram of concept lattice more visual and concise, moreover, it can be used to mine association rules interactively according to user's subjective interest, then solves the bottleneck of knowledge acquisition effectively, thus it is properly applied to the description of association rule mining in databases. Although the time complexity of building concept lattice algorithm is usually higher than FP-Growth algorithm, less than Apriori algorithm, association rule mining based on concept lattice has its own advantage, which represents the association rules more vivid and concise than Apriori and FP-Growth algorithm, thus, it can be easily applied in molecular biology to manage and analyze biology data. For example, because DNA and protein sequences are essential biological data and exist in huge volumes as well ,it is very important to apply association rule mining to compare and align biology sequences and find biosequence patterns and discovery of disease-causing gene connections and gene-drug interactions as an effective method.
Starting Page	1
Ending Page	4
File Size	288823
Page Count	4
File Format	PDF
ISBN	9781424453153
DOI	10.1109/ICBECS.2010.5462360
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Sequences Data analysis Knowledge acquisition Lattices DNA Association rules Data mining Visual databases Bioinformatics
Content Type	Text
Resource Type	Article

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