Research and Improvement on Apriori's Algorithm in Mining with Association Rules
Xian Xue-feng
Abstract
Xian Xue-feng
Abstract
Association rule is an important and issue in data mining.Based on the study of the principle and efficiency of the Apriori algorithm,point out the defect and present a new algorithm that the efficiency of mining with association rules could be improved through employing a new method of producing candidate set.
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Association rule is an important and issue in data mining.Based on the study of the principle and efficiency of the Apriori algorithm,point out the defect and present a new algorithm that the efficiency of mining with association rules could be improved through employing a new method of producing candidate set.
Key concepts: Association rule learning, Apriori algorithm, Computer science, Data mining, A priori and a posteriori, Association (psychology), Point (geometry), Set (abstract data type)