Mining Fuzzy Association Rules from Composite Items
نویسندگان
چکیده
A novel framework is described for mining fuzzy Association Rules (fuzzy ARs) relating the properties of composite attributes, i.e. attributes or items that each feature a number of values derived from a common schema. To apply fuzzy Association Rule Mining (ARM) we partition the property values into fuzzy property sets. This paper describes: (i) the process of deriving the fuzzy sets (Composite Fuzzy ARM or CFARM) and (ii) a unique property Apriori-T ARM algorithm founded on the certainty factor interestingness measure. The paper includes a complete analysis, demonstrating: (i) the potential of fuzzy property ARs, and (ii) the ability to generate a more succinct set of property ARs than that generated using a non-fuzzy method using the proposed approach.
منابع مشابه
A Framework for Mining Fuzzy Association Rules from Composite Items
A novel framework is described for mining fuzzy Association Rules (ARs) relating the properties of composite attributes, i.e. attributes or items that each feature a number of values derived from a common schema. To apply fuzzy Association Rule Mining (ARM) we partition the property values into fuzzy property sets. This paper describes: (i) the process of deriving the fuzzy sets (Composite Fuzz...
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