Association Rule Mining-the Effective Data Mining Technique for Exploring Large Databases
Biswaranjan Nayak, Prasant Ku. Pattnaik, Srinivas Prasad
Abstract
Biswaranjan Nayak, Prasant Ku. Pattnaik, Srinivas Prasad
Abstract
The basic purpose of association rule mining is to explore large databases for association rules. In this paper we have discussed about the effectiveness and importance of association rule mining that helps in decision making process and how the efficiency of association rule algorithms in data mining can be enhanced. Also advanced association rule mining techniques used in recent times have been emphasized in this paper. This paper, we hope definitely help to know about association rule mining in a broader sense.
A significance statement is not available in the OpenAlex record.
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.
The basic purpose of association rule mining is to explore large databases for association rules. In this paper we have discussed about the effectiveness and importance of association rule mining that helps in decision making process and how the efficiency of association rule algorithms in data mining can be enhanced. Also advanced association rule mining techniques used in recent times have been emphasized in this paper. This paper, we hope definitely help to know about association rule mining in a broader sense.
Key concepts: Association rule learning, Computer science, Data mining, K-optimal pattern discovery, Association (psychology), Process (computing), Data science, Database