Research Area: Data Mining
The data with the advancement of information technology are increasing on daily basis. The data mining technique has been applied to various fields. The complexity and execution time are the major factors viewed in existing data mining techniques. With the rapid development of database technology, many data storage increases, and data mining technology has become more and more important and expanded to various fields in recent years. Association rule mining is the most active research technique of data mining. Data mining technology is used for potentially useful information extraction and knowledge from big data sets. The results demonstrate that the precision ratio of the presented technique is high comparable to other existing techniques with the same recall rate, i.e., the R-tree algorithm. The proposed technique by the mining effectively controls the noise data, and the precision rate is also kept very high, which indicates the highest accuracy of the technique. This article makes a systematic and detailed analysis of data mining technology by using the Apriori algorithm.
Keywords:
rule mining
Apriori algorithm
frequent item sets
R-tree algorithm
dynamic algorithm
precision ratio
accuracy
Author(s) Name: Zhenyi Zhao , Zhou Jian , Gurjot Singh Gaba , Roobaea Alroobaea , Mehedi Masud and Saeed Rubaiee
Journal name: Journal of Intelligent Systems
Conferrence name:
Publisher name: De Gruyter
DOI: 10.1515/jisys-2020-0121
Volume Information:
