Add to ORKG512-517This paper presents a method for deriving Association rules by using apriori algorithm, clustering and fuzzy set concepts. Association rules of quantitative data are presented with mean and standard deviation, and with fuzzy linguistic terms. A case study was done on the commodity data to demonstrate vitality of proposed method. The statistical and fuzzy Association rules, inferred from the commodity data set, are helpful for the business experts in exporting related commodities to a set of countries in a more effective way along with high profits
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appe...
Abstract:- Mining fuzzy association rules is the task of finding the fuzzy itemsets which frequently...
[[abstract]]Data mining is the process of extracting desirable knowledge or interesting patterns fro...
Abstract: Data mining is sorting through data to identify patterns and establish relationships. Asso...
AbstractIn order to develop a data mining system to extract the fuzzy inference rules from the data,...
Data mining of association rules from items in transaction databases has been studied extensively in...
With the advance of computing and electronic technology, quantitative data, for example, continuous ...
Association rule mining searches for interesting relationship among items in a large data set. Marke...
[[abstract]]Due to the increasing use of very large databases and data warehouses, mining useful inf...
[[abstract]]Due to the increasing use of very large databases and data warehouses, mining useful inf...
In data mining, the association rules are used to search for the relations of items of the transacti...
Abstract: The problem of mining association rules for fuzzy quantitative items was introduced and an...
[[abstract]]Due to the increasing use of very large databases and data warehouses, mining useful inf...
[[abstract]]Data mining is the process of extracting desirable knowledge or interesting patterns fro...
[[abstract]]Machine-learning and data-mining techniques have been developed to turn data into useful...
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appe...
Abstract:- Mining fuzzy association rules is the task of finding the fuzzy itemsets which frequently...
[[abstract]]Data mining is the process of extracting desirable knowledge or interesting patterns fro...
Abstract: Data mining is sorting through data to identify patterns and establish relationships. Asso...
AbstractIn order to develop a data mining system to extract the fuzzy inference rules from the data,...
Data mining of association rules from items in transaction databases has been studied extensively in...
With the advance of computing and electronic technology, quantitative data, for example, continuous ...
Association rule mining searches for interesting relationship among items in a large data set. Marke...
[[abstract]]Due to the increasing use of very large databases and data warehouses, mining useful inf...
[[abstract]]Due to the increasing use of very large databases and data warehouses, mining useful inf...
In data mining, the association rules are used to search for the relations of items of the transacti...
Abstract: The problem of mining association rules for fuzzy quantitative items was introduced and an...
[[abstract]]Due to the increasing use of very large databases and data warehouses, mining useful inf...
[[abstract]]Data mining is the process of extracting desirable knowledge or interesting patterns fro...
[[abstract]]Machine-learning and data-mining techniques have been developed to turn data into useful...
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appe...
Abstract:- Mining fuzzy association rules is the task of finding the fuzzy itemsets which frequently...
[[abstract]]Data mining is the process of extracting desirable knowledge or interesting patterns fro...