Computing Maximum Error and Reduced Threshold of Mining Frequent Patterns in Data Stream

Controlling the space consumption and improving the precision of mining result is two challenges of frequent patterns mining in data stream. The parameter ¿ which denotes the maximum error is widely used to reduce the space consumption. In this paper, we firstly propose a computational strategy for identifying maximum error, consist of resource awareness and polynomial approximate, and then propose a reduced threshold for improving mining accuracy.