Abstract
In the form of background in the form of concept partial relation to the corresponding concept lattice, concept lattice is the core data structure of formal concept analysis. Association rule mining process includes two phases: first find all the frequent itemsets in data collection, Second it is by these frequent itemsets to generate association rules. This paper analyzes the association rule mining algorithms, such as Apriori and FP-Growth. The paper presents the construction search engine based on formal concept analysis and association rule mining. Experimental results show that the proposed algorithm has high efficiency.
Highlights
Traditional search engine technology to meet certain needs of the people, but because of its universal nature, still can not satisfy different backgrounds, different professions, and different periods of the information retrieval
How to provide users with more accurate and more effective results have been efforts in the direction of search engine development. This philosophy based on the concept of understanding, the German Wille, R Professor of formal concept analysis for the discovery of the concept, sort and display
The paper presents the construction search engine based on formal concept analysis and association rule mining
Summary
Traditional search engine technology to meet certain needs of the people, but because of its universal nature, still can not satisfy different backgrounds, different professions, and different periods of the information retrieval. How to provide users with more accurate and more effective results have been efforts in the direction of search engine development. This philosophy based on the concept of understanding, the German Wille, R Professor of formal concept analysis for the discovery of the concept, sort and display. Association rule mining in large amounts of data to find interesting association or contact between the itemsets is an important topic in the research of KDD (Knowledge Discovery in Database). With the large amounts of data constantly collect and store a lot of people in the industry are increasingly interested in mining association rules from their databases. The paper presents the construction search engine based on formal concept analysis and association rule mining
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