An Efficient Algorithm for Proportionally Fault-Tolerant Data Mining

The mining of frequent patterns in databases has been studied for several years, but few reports have discussed fault-tolerant (FT) pattern mining. FT data mining is more suitable for extracting interesting information from real-world data that may be polluted by noise. This paper considers proportional FT mining of frequent patterns. The number of… CONTINUE READING