A Neural Network Approach for Updating Ranked Association Rules, Based on Data Envelopment Analysis

Application of Data Mining Using Artificial Neural Network: Survey

“…By data envelopment analysis it prevents to repeat all the process of problem. Minimum support and minimum confidence are the two factors of an association rule which determine the strength of a rule [5]. The combine tactic of Artificial neural network based network inference and Artificial neural network base data mining we have recognized 6 genes that associate with ER system in breast cancer.…”

“…In the market basket when new transactions are added then for refreshing the ranking table we apply the artificial neural network. By data envelopment analysis it prevents to repeat all the process of problem [5]. Minimum support and minimum confidence are the two factors of an association rule which determine the strength of a rule.…”

“…It uses multiple input and output for the measurement of entity performance. In future work, for achieving this goal we could examine the instant base reasoning (case based reasoning) [5]. In this proposed paper [35] the author introduces a new neural approach known as ensemble recursive rule extraction.…”

“…It shows some aspect of database that is not known before. Ranking the association rules is very important in market in decision creation and basket analysis [5]. For updating the rank table of association rules a new method has been proposed.…”

“…This paper [5] describes association rules as one of the essential method of data mining. It shows some aspect of database that is not known before.…”