Add to ORKG[[abstract]]Many approaches have been proposed for mining fuzzy association rules.The membership functions, which critically influence the final mining results, are difficult to define. In general, multiple criteria are considered when defining membership functions. In this paper, a multi-objective genetic-fuzzy mining algorithm is proposed for extracting membership functions and association rules from quantitative transactions.Two objective functions are used to find the Pareto front. The first one is the suitability of membership functions. It consists of the coverage factor and the overlap factor and is used to avoid two unsuitable types of membership function. The second one is the total number of large 1-itemsets from a given set of mi...
A fuzzy-genetic data-mining algorithm for extracting both association rules and membership functions...
[[abstract]]Fuzzy data mining is used to discover fuzzy knowledge from linguistic or quantitative da...
Searching for patterns in large database is one of the major tasks in data mining. This can be achie...
Abstract. Many approaches have been proposed for mining fuzzy association rules. The membership func...
[[abstract]]Transactions in real-world applications usually consist of quantitative values. Some fuz...
[[abstract]]Since transactions may contain quantitative values, many approaches have been proposed t...
[[abstract]]Data mining is the process of extracting desirable knowledge or interesting patterns fro...
[[abstract]]Data mining is most commonly used in attempts to induce association rules from transacti...
Data mining of association rules from items in transaction databases has been studied extensively in...
Abstract to derive a predefined number of membership functions for getting a maximum profit within a...
[[conferencetype]]國際[[conferencedate]]20140707-20140711[[conferencelocation]]中國北
[[abstract]]Data mining is the process of extracting desirable knowledge or interesting patterns fro...
[[abstract]]In this paper, we propose a two-stage multi-objective fuzzy mining algorithm for dealing...
In this paper, we propose an automated method to decide on the number of fuzzy sets and for the auto...
Data mining is the process of extracting desirable knowledge or interesting patterns from existing d...
A fuzzy-genetic data-mining algorithm for extracting both association rules and membership functions...
[[abstract]]Fuzzy data mining is used to discover fuzzy knowledge from linguistic or quantitative da...
Searching for patterns in large database is one of the major tasks in data mining. This can be achie...
Abstract. Many approaches have been proposed for mining fuzzy association rules. The membership func...
[[abstract]]Transactions in real-world applications usually consist of quantitative values. Some fuz...
[[abstract]]Since transactions may contain quantitative values, many approaches have been proposed t...
[[abstract]]Data mining is the process of extracting desirable knowledge or interesting patterns fro...
[[abstract]]Data mining is most commonly used in attempts to induce association rules from transacti...
Data mining of association rules from items in transaction databases has been studied extensively in...
Abstract to derive a predefined number of membership functions for getting a maximum profit within a...
[[conferencetype]]國際[[conferencedate]]20140707-20140711[[conferencelocation]]中國北
[[abstract]]Data mining is the process of extracting desirable knowledge or interesting patterns fro...
[[abstract]]In this paper, we propose a two-stage multi-objective fuzzy mining algorithm for dealing...
In this paper, we propose an automated method to decide on the number of fuzzy sets and for the auto...
Data mining is the process of extracting desirable knowledge or interesting patterns from existing d...
A fuzzy-genetic data-mining algorithm for extracting both association rules and membership functions...
[[abstract]]Fuzzy data mining is used to discover fuzzy knowledge from linguistic or quantitative da...
Searching for patterns in large database is one of the major tasks in data mining. This can be achie...