Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Data mining is most commonly used in attempts to induce association rules from transaction data. Transactions in real-world applications, hover, usually consist of quantitative values.  thus proposes a fuzzy data-mining algorithm for extracting both association rules and membership functions from quantitative transactions.  present a GA-based framework for finding membership functions suitable for mining problems and then use the final best set of membership functions to mine fuzzy association rules. The fitness of each chromosome is evaluated by the number of large 1-itemsets generated from part of the previously proposed fuzzy mining algorithm and by the suitability of the membership functions. Experimental results also show the effectiveness of the framework.
['Tzung-Pei Hong', 'Chun-Hao Chen', 'Yu-Lung Wu', 'Yeong-Chyi Lee']
I am writing a research paper on a idea A GA-based Fuzzy Mining Approach to Achieve a Trade-off Between Number of Rules and Suitability of Membership Functions
[{"from": "human", "value": "I am writing a research paper on a idea A GA-based Fuzzy Mining Approach to Achieve a Trade-off Between Number of Rules and Suitability of Membership Functions"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Data mining is most commonly used in attempts to induce association rules from transaction data. Transactions in real-world applications, hover, usually consist of quantitative values.  thus proposes a fuzzy data-mining algorithm for extracting both association rules and membership functions from quantitative transactions.  present a GA-based framework for finding membership functions suitable for mining problems and then use the final best set of membership functions to mine fuzzy association rules. The fitness of each chromosome is evaluated by the number of large 1-itemsets generated from part of the previously proposed fuzzy mining algorithm and by the suitability of the membership functions. Experimental results also show the effectiveness of the framework."}]