... learning, association analysis,andlinkmining,whichareallamongthemostimportanttopicsindataminingresearchand development, as well as for curriculum design for related data mining, machinelearning, ... include samplingat random from the dataset, setting them as the solution of clustering a small subsetof the data, or perturbing the global mean of the data k times. In Algorithm 2.1, weinitialize ... applications, and inspire more researchers in data mining to furtherexplore these10 algorithms, including theirimpactand newresearchissues. These 10 algorithms cover classification, clustering, statistical...