Patent ID: 8676739

Claim:
A non-transitory computer-readable storage medium storing an application, which, when executed on a processor, performs an operation for determining a set of data to use for a predictive analysis, the operation comprising: identifying a sequential set of sampled values of at least one performance metric; generating, from the set of sampled values, a classification and regression tree, wherein each level of the classification and regression tree below a root node splits the set of sampled values into at least two nodes, each node containing a subset of the sampled values; traversing a specified branch of the classification and regression tree until identifying, based on at least one of: (i) a magnitude of a difference in a standard deviation of the subset of sampled values of a first node and a standard deviation of the subset of sampled values of a second node exceeding a first specified magnitude, and (ii) a correlation measure between the subset of sampled values of the first node and a set of correlation values exceeding a second specified magnitude, the first node for use by a predictive modeling analysis; and stopping the traversal of the specified branch of the classification and regression tree upon identifying the first node, wherein the first node is identified without pruning any of the nodes below the root node from the classification and regression tree.